Looking for the next step of your career? Are you enthusiastic about quantitative data? Do you want to contribute to Vattenfall’s digitalization strategy? For our team Technical Reporting, part of Vattenfall’s Business Area (BA) Heat, we are now looking for an experienced and ambitious
Senior Data Analyst – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
Your job as Senior Data Analyst – Technical Data As a Senior Data Analyst, you have a comprehensive understanding of data processing and the mathematical / stochastic relationships of data in an industrial environment. You will play a key role in bringing the digitalization strategy to life and influencing the concrete implementation. Your experience in “Big Data”, your creative and innovative mind will find a design leeway as we are in the beginning stage of our digital efforts.
As part of our companywide digitalization strategy, we have introduced a data lake solution based on a “Microsoft first strategy” which incorporates latest technologies ranging from the Microsoft Azure Stack including Office 365 with Power BI to Azure DWH and Hadoop Clusters with Machine Learning components.
As a Senior Data Analyst you will help to make this technology ready for us in BA Heat to use for our wide variety of data sources (including technical time series) by designing, developing and implementing according solutions reaching out into the different data domains within our business.
In your role as Data Analyst, you will be reporting to the Head of Technical Reporting.
Your key activities will be
Explore data, identify, translate and consult about important business process questions based on insights from data
Analyze structured and unstructured data, perform Data Mining incl. identification of patterns with economic potential, find actionable insights and make recommendations
Evaluate and establish appropriate practices for statistical analytics
Design visualizations of information, dashboards and reports
Implement and maintain cleansing techniques and transform data to make it more appropriate and valuable for analytics (data wrangling)
Work closely with our business to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as Senior Data Analyst – Technical Data Are you triggered by piloting and implementing new technologies? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? Perfect! We are looking for someone who is creative and has ideas about which technologies and methods are best applicable for us. In addition, you have/are:
You have an academic degree within a relevant area such as Math, Statistics, Engineering, Computer Science or equivalent
You have experience doing data analysis and quantitative analysis in a Big Data environment and are focused on translating them into added value according to given business targets
You have a deep understanding of validation, data preparation and cleansing processes as well as statistical tooling and experiment design
You have the ability to effectively visualize and communicate results to others and create trust
You have experience in energy business processes
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are excited about building something new, to make change happen
You are open and able to communicate with our various stakeholders (including different levels of management)
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Corinna Ullmer (Director Technical Reporting) via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289. The entry deadline is June 5 th , 2018. Please apply directly via the application button .
17/05/2018
Full time
Looking for the next step of your career? Are you enthusiastic about quantitative data? Do you want to contribute to Vattenfall’s digitalization strategy? For our team Technical Reporting, part of Vattenfall’s Business Area (BA) Heat, we are now looking for an experienced and ambitious
Senior Data Analyst – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
Your job as Senior Data Analyst – Technical Data As a Senior Data Analyst, you have a comprehensive understanding of data processing and the mathematical / stochastic relationships of data in an industrial environment. You will play a key role in bringing the digitalization strategy to life and influencing the concrete implementation. Your experience in “Big Data”, your creative and innovative mind will find a design leeway as we are in the beginning stage of our digital efforts.
As part of our companywide digitalization strategy, we have introduced a data lake solution based on a “Microsoft first strategy” which incorporates latest technologies ranging from the Microsoft Azure Stack including Office 365 with Power BI to Azure DWH and Hadoop Clusters with Machine Learning components.
As a Senior Data Analyst you will help to make this technology ready for us in BA Heat to use for our wide variety of data sources (including technical time series) by designing, developing and implementing according solutions reaching out into the different data domains within our business.
In your role as Data Analyst, you will be reporting to the Head of Technical Reporting.
Your key activities will be
Explore data, identify, translate and consult about important business process questions based on insights from data
Analyze structured and unstructured data, perform Data Mining incl. identification of patterns with economic potential, find actionable insights and make recommendations
Evaluate and establish appropriate practices for statistical analytics
Design visualizations of information, dashboards and reports
Implement and maintain cleansing techniques and transform data to make it more appropriate and valuable for analytics (data wrangling)
Work closely with our business to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as Senior Data Analyst – Technical Data Are you triggered by piloting and implementing new technologies? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? Perfect! We are looking for someone who is creative and has ideas about which technologies and methods are best applicable for us. In addition, you have/are:
You have an academic degree within a relevant area such as Math, Statistics, Engineering, Computer Science or equivalent
You have experience doing data analysis and quantitative analysis in a Big Data environment and are focused on translating them into added value according to given business targets
You have a deep understanding of validation, data preparation and cleansing processes as well as statistical tooling and experiment design
You have the ability to effectively visualize and communicate results to others and create trust
You have experience in energy business processes
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are excited about building something new, to make change happen
You are open and able to communicate with our various stakeholders (including different levels of management)
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Corinna Ullmer (Director Technical Reporting) via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289. The entry deadline is June 5 th , 2018. Please apply directly via the application button .
We are looking for experienced Python Engineers with a strong background in software engineering for production to join our Machine Learning team. You will create innovative machine learning applications for our cloud-based commerce platform and work with a rich variation of data sources including images, natural language text, demographics, sales records and product attributes. Common applications include recommendation engines, anomaly detection or trend prediction, but we are always looking to push conventional boundaries and develop innovative applications based on modern machine learning research.
ABOUT YOUR NEW ROLE
Design, build and deploy scalable machine learning APIs
Collaborate with a multi-disciplinary team of Software Engineers, Data Scientists, Product Managers and DevOps Engineers
SKILLS & REQUIREMENTS
B.Sc. or M.Sc. in a quantitative discipline such as computer science, machine learning or statistics
At least three years of work experience in software engineering for production
Solid understanding of databases, git, continuous integration and best practices in monitoring and deployment of applications
Familiar with machine learning frameworks for Python (pandas, numpy, scikit-learn, etc.)
Excellent English language skills (German is a plus) and the ability to communicate the results of your work to people with different backgrounds
Bonus: Experience in commerce, Google Cloud Platform, data engineering or Scala
THIS IS HOW WE WORK
Mindset . Modern methodologies and a diverse, creative workspace with an open and international culture.
Product . Together we create an extendable, highly scalable product with state of the art technologies. Let’s develop something with impact.
Growth . Learn from each other and benefit from the knowledge we concentrate in a healthy growing company.
Environment . Flexible and family friendly environment, bright and good accessible offices, modern soft- and hardware.
Flexibility . Morning person or night owl? Need to pick up your kids from kindergarten? We believe in outcome and motivated employees rather than feeling stuck in the office.
26/04/2018
Full time
We are looking for experienced Python Engineers with a strong background in software engineering for production to join our Machine Learning team. You will create innovative machine learning applications for our cloud-based commerce platform and work with a rich variation of data sources including images, natural language text, demographics, sales records and product attributes. Common applications include recommendation engines, anomaly detection or trend prediction, but we are always looking to push conventional boundaries and develop innovative applications based on modern machine learning research.
ABOUT YOUR NEW ROLE
Design, build and deploy scalable machine learning APIs
Collaborate with a multi-disciplinary team of Software Engineers, Data Scientists, Product Managers and DevOps Engineers
SKILLS & REQUIREMENTS
B.Sc. or M.Sc. in a quantitative discipline such as computer science, machine learning or statistics
At least three years of work experience in software engineering for production
Solid understanding of databases, git, continuous integration and best practices in monitoring and deployment of applications
Familiar with machine learning frameworks for Python (pandas, numpy, scikit-learn, etc.)
Excellent English language skills (German is a plus) and the ability to communicate the results of your work to people with different backgrounds
Bonus: Experience in commerce, Google Cloud Platform, data engineering or Scala
THIS IS HOW WE WORK
Mindset . Modern methodologies and a diverse, creative workspace with an open and international culture.
Product . Together we create an extendable, highly scalable product with state of the art technologies. Let’s develop something with impact.
Growth . Learn from each other and benefit from the knowledge we concentrate in a healthy growing company.
Environment . Flexible and family friendly environment, bright and good accessible offices, modern soft- and hardware.
Flexibility . Morning person or night owl? Need to pick up your kids from kindergarten? We believe in outcome and motivated employees rather than feeling stuck in the office.
You may know SKF as the world's leading supplier of products and solutions in the rolling bearing business. In addition, we are one of the leading players in seals, mechatronics, lubrication systems, and services which include technical support, maintenance services, condition monitoring and training. The inherent skills and competence of our arround 46.000 employees help us to fulfill our objective of creating more intelligent, sustainable and innovative customer solutions. SKF is a truly global company with presence in more than 130 countries, serving an extensive range of industries and customers worldwide.
SKF IoT Technology develops cloud based “Internet of Things” solutions, including Big Data management and advanced Big Data analytic solutions. The IoT Technology department is part of SKF’s Group IT. We are working in an agile, interdisciplinary development team and support global projects across different domains within SKF teams to develop cutting edge cloud native solutions. We are hiring experienced IT professionals within our “IoT Technology Development”.
We offer the position of a
Data Scientist (f/m)
Tasks
Partnering with domain experts in global project teams to identify project related questions, key metrics and actionable insights
Developing predictive models and new algorithms that can be used in nextgeneration applications and services
Quickly realizing proof of concepts in an agile way
Analyzing large data sets to develop new models and algorithms to drive innovative insights into various kind of data
Working with data in varying structures, ranging from traditional structured data and semi-structured data to unstructured data
Developing analytical jobs for real-time and batch analysis and integrating them into a cloud native architecture
Helping to establish a data-driven culture within a global company
Identification of Data Science opportunities in various business fields
Requirements
Bachelor’s or Master’s degree in Computer Science, Math, Statistics, Physics or equivalent experience
Excellent knowledge of traditional and State-of-the-Art Machine Learning algorithms, including Deep Learning and statistics
Deep knowledge in statistical and visualization packages, e. g. Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn
Excellent programming skills in Python
Experience in working with distributed systems and understanding of technologies like Hadoop, Hive, Pig, Spark, or Storm
Experience in Amazon Web Services (AWS) technologies including Boto 3
Additional programming experience in R, Java, SQL
Fluent in English. German language skills are a plus
Constantly learning and improving his / her own skill set. Keep yourself updated about new technological developments
Openness to learn about domain knowledge in areas like engineering, sales & marketing, manufacturing
What we offer?
Working together with multiple domains
High autonomy in choosing methods and tools for the project at hand
Opportunity to establish a core competence within a global company
Technical training to help you being constantly up to date
Interested?
Then go on and apply via skfjobs .
SKF Recruitment Center Frau Michelle Weippert Tel.: +49 9721 563056
www.skf.de
12/04/2018
Full time
You may know SKF as the world's leading supplier of products and solutions in the rolling bearing business. In addition, we are one of the leading players in seals, mechatronics, lubrication systems, and services which include technical support, maintenance services, condition monitoring and training. The inherent skills and competence of our arround 46.000 employees help us to fulfill our objective of creating more intelligent, sustainable and innovative customer solutions. SKF is a truly global company with presence in more than 130 countries, serving an extensive range of industries and customers worldwide.
SKF IoT Technology develops cloud based “Internet of Things” solutions, including Big Data management and advanced Big Data analytic solutions. The IoT Technology department is part of SKF’s Group IT. We are working in an agile, interdisciplinary development team and support global projects across different domains within SKF teams to develop cutting edge cloud native solutions. We are hiring experienced IT professionals within our “IoT Technology Development”.
We offer the position of a
Data Scientist (f/m)
Tasks
Partnering with domain experts in global project teams to identify project related questions, key metrics and actionable insights
Developing predictive models and new algorithms that can be used in nextgeneration applications and services
Quickly realizing proof of concepts in an agile way
Analyzing large data sets to develop new models and algorithms to drive innovative insights into various kind of data
Working with data in varying structures, ranging from traditional structured data and semi-structured data to unstructured data
Developing analytical jobs for real-time and batch analysis and integrating them into a cloud native architecture
Helping to establish a data-driven culture within a global company
Identification of Data Science opportunities in various business fields
Requirements
Bachelor’s or Master’s degree in Computer Science, Math, Statistics, Physics or equivalent experience
Excellent knowledge of traditional and State-of-the-Art Machine Learning algorithms, including Deep Learning and statistics
Deep knowledge in statistical and visualization packages, e. g. Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn
Excellent programming skills in Python
Experience in working with distributed systems and understanding of technologies like Hadoop, Hive, Pig, Spark, or Storm
Experience in Amazon Web Services (AWS) technologies including Boto 3
Additional programming experience in R, Java, SQL
Fluent in English. German language skills are a plus
Constantly learning and improving his / her own skill set. Keep yourself updated about new technological developments
Openness to learn about domain knowledge in areas like engineering, sales & marketing, manufacturing
What we offer?
Working together with multiple domains
High autonomy in choosing methods and tools for the project at hand
Opportunity to establish a core competence within a global company
Technical training to help you being constantly up to date
Interested?
Then go on and apply via skfjobs .
SKF Recruitment Center Frau Michelle Weippert Tel.: +49 9721 563056
www.skf.de
Job Family: Information Technology
If you really want to make a difference – make it with us
The Digital Factory (DF) Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products.
Your new role – challenging and future-oriented
As part of your work, you will translate business and customer requirements into data analysis problems and conduct feasibility studies
In addition, you solve business problems pragmatically using multivariate statistics, predictive modeling, machine learning and optimization methods and recommendation systems, etc.
You conceptualize and implement robust data-driven analytics workflows in MindSphere platforms, support co-creation workshops, and independently engage in dialog with domain experts and product managers to identify innovative data analytics applications in the field of digital services
You become part of an inspiring team of data scientists, engineers and visualization experts
Recently you keep yourself up to date with the latest technologies in this field (e.g. at conferences and symposia) and actively share your knowledge and methods in a team
Your qualifications – solid and appropriate
The foundation of your success is a successfully completed master's degree in computer science, computer science, mathematics, physics or comparable fields. Ideally, you have a doctorate
You have several years of relevant professional experience in the field of data science and you are looking forward to contribute your solid knowledge in e.g. Python, Scala, SQL, or similar and have experience with interactive collaboration platforms, e.g. Jupyter, Zeppelin
In addition, you score with solid knowledge of machine learning algorithms (model training, selection and evaluation) and corresponding libraries (sklearn, Tensorflow, Keras, Spark MLlib,...) as well as knowledge in the area of reinforcement learning
You have already gained experience with SQL and NoSQL databases, stream analysis and corresponding programming (Hadoop, Spark, Pig, Hive, Storm, Spark,...) and ideally have expertise in the Amazon Web Services product landscape. Ideally, you also have publications in the field of artificial intelligence, machine learning or numerical optimization
Furthermore you are characterized by a high degree of creativity, initiative and convinces as well as very good communication skills in order to bring non-specialists closer to data science topics
We would be pleased to get to know you better in an interview if you are also fluent in English and ideally have a good command of German
Getting in touch with us – straightforward and direct
www.siemens.de/df-en if you wish to find out more about the specific business before applying.
+49 (9131) 7-35335 if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Ms. Veronika Windmaier.
www.siemens.com/careers if you would like to find out more about jobs & careers at Siemens.
As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
18/05/2018
Full time
Job Family: Information Technology
If you really want to make a difference – make it with us
The Digital Factory (DF) Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products.
Your new role – challenging and future-oriented
As part of your work, you will translate business and customer requirements into data analysis problems and conduct feasibility studies
In addition, you solve business problems pragmatically using multivariate statistics, predictive modeling, machine learning and optimization methods and recommendation systems, etc.
You conceptualize and implement robust data-driven analytics workflows in MindSphere platforms, support co-creation workshops, and independently engage in dialog with domain experts and product managers to identify innovative data analytics applications in the field of digital services
You become part of an inspiring team of data scientists, engineers and visualization experts
Recently you keep yourself up to date with the latest technologies in this field (e.g. at conferences and symposia) and actively share your knowledge and methods in a team
Your qualifications – solid and appropriate
The foundation of your success is a successfully completed master's degree in computer science, computer science, mathematics, physics or comparable fields. Ideally, you have a doctorate
You have several years of relevant professional experience in the field of data science and you are looking forward to contribute your solid knowledge in e.g. Python, Scala, SQL, or similar and have experience with interactive collaboration platforms, e.g. Jupyter, Zeppelin
In addition, you score with solid knowledge of machine learning algorithms (model training, selection and evaluation) and corresponding libraries (sklearn, Tensorflow, Keras, Spark MLlib,...) as well as knowledge in the area of reinforcement learning
You have already gained experience with SQL and NoSQL databases, stream analysis and corresponding programming (Hadoop, Spark, Pig, Hive, Storm, Spark,...) and ideally have expertise in the Amazon Web Services product landscape. Ideally, you also have publications in the field of artificial intelligence, machine learning or numerical optimization
Furthermore you are characterized by a high degree of creativity, initiative and convinces as well as very good communication skills in order to bring non-specialists closer to data science topics
We would be pleased to get to know you better in an interview if you are also fluent in English and ideally have a good command of German
Getting in touch with us – straightforward and direct
www.siemens.de/df-en if you wish to find out more about the specific business before applying.
+49 (9131) 7-35335 if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Ms. Veronika Windmaier.
www.siemens.com/careers if you would like to find out more about jobs & careers at Siemens.
As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
Category : Analytics and Emerging Digital Technologies
Position Description:
den Grund zu gehen und neue Erkenntnisse zu erlangen. Wir bieten Dir hierzu die optimale Gelegenheit mit unserer Masterclass „#Data Insight“. Diese bietet in einem 5-wöchigen interaktiven Schnellkurs inzteressante und tiefe Einblicke in das Thema Advanced Analytics.
Du kommst „frisch“ von der Uni oder hast bereits erste Berufserfahrung als Young Professional gesammelt?
Du kennst das Potential der Digitalisierung und die Möglichkeiten bahnbrechender Datenanalyse- und verarbeitungstechnologien? Du suchst nach dem richtigen Einstieg, um hier voll durchzustarten?
Dann bewirb Dich für unserere fünfwöchige Masterclass „#Data Insight“ und der im Anschluss daran anknüpfenden Karierre als Consultant bei CGI. Lerne die Methoden und Technologien aus Business Intelligence, Analytics und Big Data anhand von anschauliche Praxisbeispielen und –übungen aus Geschäftsfeldern wie z.B. Financial Services, E-Commerce, Telecommunication oder Manufactoring/Logistics kennen.
Parallel zum fachlichen Training führen unsere Profis dich in das spannende Beraterleben ein und vermitteln dir alle Tipps & Tricks des Berateralltags.
Was solltest Du dazu mitbringen?
Begeisterungsfähigkeit für neue Methoden aus Daten Wissen zu machen
Interesse an Business Intelligence, DWH, Data Analytics, Big Data
abgeschlossenes Studium (oder kurz davor)
Idealerweise Vorkenntnisse aus einem der genannten Bereiche
Spaß am Lernen!
Was bekommst Du?
Geballtes Wissen und ein engagiertes Trainer Team, die Freude daran haben, Dich auf die Pole Position für Deine Karriere zu bringen. Und eine Festanstellng natürlich, von Anfang an!
Ausgewählte Themen unserer Masterclass:
Moderne Big Data und „Near-Real-Time“ BI-Architekturen
methodisches Vorgehen in BI-Projekten
Datenmodellierung: Dimensional Modelling
SQL- und Datenbankausbildung
Nutzung führender BI Technologien wie z.B: SAS, Talend, Informatica, Oracle Data Integrator, Qlik und weitere
Einführung in analytische Modelle
Data & Analytics in der Cloud
Your future duties and responsibilities:
Konzeption und Umsetzung von ganzheitlichen Data Warehouse, Big Data, Business Intelligence und Analytics Lösungen
Entwicklung von Architekturen und Konzepten für unsere Kunden
Beratung und Interaktion mit den betroffenen Fachabteilungen
Datenanalyse und Datenmodellierung
Definition / Umsetzung von ETL-Prozessen, DWH-Strukturen, Reports & Dashboards, Analytics
Required qualifications to be successful in this role:
Zu deinen Eigenschaften zählen:
Begeisterungsfähigkeit für Daten und daraus gewonnenem Wissen
Spaß am Lernen
abgeschlossenes Studium (oder kurz davor) mit IT-Schwerpunkt
Interesse an Business Intelligence, DWH, Data Analytics, Big Data
professionelles Auftreten & Teamfähigkeit
Bereitschaft Verantwortung zu übernehmen
gute englische und deutsche Sprachkenntnisse in Wort und Schrift
What you can expect from us:
Gestalten Sie mit uns Ihre Zukunft neu.
Außergewöhnliche Zeiten fordern uns heraus. Der digitale Wandel schreitet voran und CGI unterstützt und begleitet seine Kunden auf diesem Weg. Dabei bieten wir eine Vielzahl neuer Möglichkeiten innerhalb der Digitalisierung und der IT von Morgen.
Bei CGI macht Arbeit und Erfolg haben Spaß. Denn wir bringen Menschen, Prozesse und Technologie zusammen. Wir wollen nicht nur unsere Aufträge erfüllen, sondern auch unsere Kunden erfolgreich bei ihrem Wandel begleiten und sie immer wieder begeistern. Dass uns beides regelmäßig gelingt, verdanken wir in erster Linie unseren motivierten Kollegen. Ihre Identifikation mit unserer Unternehmensphilosophie zeigt im täglichen Miteinander, was das Arbeiten bei CGI so außergewöhnlich macht.
Teilen Sie die Freude, mit anderen etwas zu bewegen und werden Sie Teil von CGI!
Lernen Sie CGI näher kennen unter www.de.cgi.com
Das CGI-Recruiting Team steht Ihnen bei Rückfragen oder für ein telefonisches Erstgespräch gerne zur Verfügung. Sie erreichen uns unter 06196 / 77 42 420. Wir freuen uns auf Ihre Bewerbung!
At CGI, you will find a stimulating environment with exciting opportunities and plenty of variety to evolve your skills and lay a strong foundation of experience.
Our promise to you:
You will be respected
Your initiatives will be encouraged - we call this "intrapreneurship"
Your career and professional development will be our top priorities
You will be remunerated based on merit and performance
You will constantly learn, no matter how experienced you are
You will be treated equitably and without discrimination with respect to employment equity
There's always room for you to grow at CGI - that is our commitment to you.
18/05/2018
Full time
Category : Analytics and Emerging Digital Technologies
Position Description:
den Grund zu gehen und neue Erkenntnisse zu erlangen. Wir bieten Dir hierzu die optimale Gelegenheit mit unserer Masterclass „#Data Insight“. Diese bietet in einem 5-wöchigen interaktiven Schnellkurs inzteressante und tiefe Einblicke in das Thema Advanced Analytics.
Du kommst „frisch“ von der Uni oder hast bereits erste Berufserfahrung als Young Professional gesammelt?
Du kennst das Potential der Digitalisierung und die Möglichkeiten bahnbrechender Datenanalyse- und verarbeitungstechnologien? Du suchst nach dem richtigen Einstieg, um hier voll durchzustarten?
Dann bewirb Dich für unserere fünfwöchige Masterclass „#Data Insight“ und der im Anschluss daran anknüpfenden Karierre als Consultant bei CGI. Lerne die Methoden und Technologien aus Business Intelligence, Analytics und Big Data anhand von anschauliche Praxisbeispielen und –übungen aus Geschäftsfeldern wie z.B. Financial Services, E-Commerce, Telecommunication oder Manufactoring/Logistics kennen.
Parallel zum fachlichen Training führen unsere Profis dich in das spannende Beraterleben ein und vermitteln dir alle Tipps & Tricks des Berateralltags.
Was solltest Du dazu mitbringen?
Begeisterungsfähigkeit für neue Methoden aus Daten Wissen zu machen
Interesse an Business Intelligence, DWH, Data Analytics, Big Data
abgeschlossenes Studium (oder kurz davor)
Idealerweise Vorkenntnisse aus einem der genannten Bereiche
Spaß am Lernen!
Was bekommst Du?
Geballtes Wissen und ein engagiertes Trainer Team, die Freude daran haben, Dich auf die Pole Position für Deine Karriere zu bringen. Und eine Festanstellng natürlich, von Anfang an!
Ausgewählte Themen unserer Masterclass:
Moderne Big Data und „Near-Real-Time“ BI-Architekturen
methodisches Vorgehen in BI-Projekten
Datenmodellierung: Dimensional Modelling
SQL- und Datenbankausbildung
Nutzung führender BI Technologien wie z.B: SAS, Talend, Informatica, Oracle Data Integrator, Qlik und weitere
Einführung in analytische Modelle
Data & Analytics in der Cloud
Your future duties and responsibilities:
Konzeption und Umsetzung von ganzheitlichen Data Warehouse, Big Data, Business Intelligence und Analytics Lösungen
Entwicklung von Architekturen und Konzepten für unsere Kunden
Beratung und Interaktion mit den betroffenen Fachabteilungen
Datenanalyse und Datenmodellierung
Definition / Umsetzung von ETL-Prozessen, DWH-Strukturen, Reports & Dashboards, Analytics
Required qualifications to be successful in this role:
Zu deinen Eigenschaften zählen:
Begeisterungsfähigkeit für Daten und daraus gewonnenem Wissen
Spaß am Lernen
abgeschlossenes Studium (oder kurz davor) mit IT-Schwerpunkt
Interesse an Business Intelligence, DWH, Data Analytics, Big Data
professionelles Auftreten & Teamfähigkeit
Bereitschaft Verantwortung zu übernehmen
gute englische und deutsche Sprachkenntnisse in Wort und Schrift
What you can expect from us:
Gestalten Sie mit uns Ihre Zukunft neu.
Außergewöhnliche Zeiten fordern uns heraus. Der digitale Wandel schreitet voran und CGI unterstützt und begleitet seine Kunden auf diesem Weg. Dabei bieten wir eine Vielzahl neuer Möglichkeiten innerhalb der Digitalisierung und der IT von Morgen.
Bei CGI macht Arbeit und Erfolg haben Spaß. Denn wir bringen Menschen, Prozesse und Technologie zusammen. Wir wollen nicht nur unsere Aufträge erfüllen, sondern auch unsere Kunden erfolgreich bei ihrem Wandel begleiten und sie immer wieder begeistern. Dass uns beides regelmäßig gelingt, verdanken wir in erster Linie unseren motivierten Kollegen. Ihre Identifikation mit unserer Unternehmensphilosophie zeigt im täglichen Miteinander, was das Arbeiten bei CGI so außergewöhnlich macht.
Teilen Sie die Freude, mit anderen etwas zu bewegen und werden Sie Teil von CGI!
Lernen Sie CGI näher kennen unter www.de.cgi.com
Das CGI-Recruiting Team steht Ihnen bei Rückfragen oder für ein telefonisches Erstgespräch gerne zur Verfügung. Sie erreichen uns unter 06196 / 77 42 420. Wir freuen uns auf Ihre Bewerbung!
At CGI, you will find a stimulating environment with exciting opportunities and plenty of variety to evolve your skills and lay a strong foundation of experience.
Our promise to you:
You will be respected
Your initiatives will be encouraged - we call this "intrapreneurship"
Your career and professional development will be our top priorities
You will be remunerated based on merit and performance
You will constantly learn, no matter how experienced you are
You will be treated equitably and without discrimination with respect to employment equity
There's always room for you to grow at CGI - that is our commitment to you.
Functional Area : Software Development
Position Description
- Development of complex, automated data analytics solutions for life science and health care. - Analysis and interpretation of data from QIAGEN instruments and detection platforms. - Use of predictive modelling and machine learning techniques to predict instrument and run performance. - Contribution to prototyping and optimization of algorithms. - Design and creation of applications to present analytical results to internal and external customers. - Be part of an interdisciplinary and international team.
Position Requirements
- University degree in computer science or natural sciences, ideally with a focus on data science. - Extensive experience with advanced data analytics and statistical methods. - Solid understanding of, and genuine interest in the inner workings of advanced algorithms. - Excellent programming skills in scripting languages (e.g. Python, R) and Java. - Experience in the field of Next-Generation-Sequencing of advantage.
Personal Requirements
- Analytical mindset with an ability to grasp complex contexts and scenarios quickly. - True team player, enjoy working in an interdisciplinary and international team. - Excellent communication skills, ability to work independently and to guide junior team member.
18/05/2018
Full time
Functional Area : Software Development
Position Description
- Development of complex, automated data analytics solutions for life science and health care. - Analysis and interpretation of data from QIAGEN instruments and detection platforms. - Use of predictive modelling and machine learning techniques to predict instrument and run performance. - Contribution to prototyping and optimization of algorithms. - Design and creation of applications to present analytical results to internal and external customers. - Be part of an interdisciplinary and international team.
Position Requirements
- University degree in computer science or natural sciences, ideally with a focus on data science. - Extensive experience with advanced data analytics and statistical methods. - Solid understanding of, and genuine interest in the inner workings of advanced algorithms. - Excellent programming skills in scripting languages (e.g. Python, R) and Java. - Experience in the field of Next-Generation-Sequencing of advantage.
Personal Requirements
- Analytical mindset with an ability to grasp complex contexts and scenarios quickly. - True team player, enjoy working in an interdisciplinary and international team. - Excellent communication skills, ability to work independently and to guide junior team member.
You are a highly analytical minded person who is passionate about data. Preparing reports that are easily understandable for your technical as all well as non-technical colleagues is something you love to do. If you are looking for a new challenge in a dynamic company and want to work with a great, young and international team, we can’t wait to meet you.
YOUR TASKS
Create systems and dashboards for detailed financial reports
Analyze data and identify opportunities to improve conversion and churn
Collaborate with technical product squads to ship features to increase conversion and reduce churn, globally.
Analyzing big data sets using data or statistical tools and deriving conclusions
Build financial models on a variety of strategic company initiatives
Revenue analysis of current channels to identify and improve profit drivers;
Create a churn prediction model
You will be just as comfortable working directly with data as well as communicating and proposing project improvements. You will showcase projects with detailed points to backup findings.
REQUIREMENTS
2+ years of experience with global recurring subscription platforms (Payments & Billing).
Bachelor’s/Master's degree or higher in natural sciences / computer science / mathematics.
Knowledge in statistics and analysis tools.
Understanding of databases and experience with SQL.
Experience building automation tools and programming is a big advantage.
Strong team-player who can work well across multiple cross-functional teams.
WHAT YOU CAN EXPECT FROM US:
Ownership: The possibility to shape and develop Asana Rebel in an early stage. Fast decisions and flat hierarchies help you to have an impact.
Excellence & Team: The chance to work in an excellent team of young professionals and ambitious founders. Be able to work with an awesome team, who love to help each other out and will care about you.
Flexibility: We take care of our team. You’ll get the things you need (just ask for it). We have flexible working hours, free yoga, free drinks and fruits, team events and a budget for attending conferences or off-the-job-trainings.
Apply now
ABOUT US
"Asana Rebel - Yoga Inspired Fitness" is a successful growing mobile fitness app. We are an international and dedicated team, based in the heart of Berlin. Our app has been featured multiple times by Apple and Google and is rated as one of the top health & fitness apps, with an average of more than 4.6 / 5 stars. With millions of users and a great vision, we strive to achieve global success. For this journey ahead, we are looking to further build up our team of bright minds and impressive personalities.
A great vision needs great people.
18/05/2018
Full time
You are a highly analytical minded person who is passionate about data. Preparing reports that are easily understandable for your technical as all well as non-technical colleagues is something you love to do. If you are looking for a new challenge in a dynamic company and want to work with a great, young and international team, we can’t wait to meet you.
YOUR TASKS
Create systems and dashboards for detailed financial reports
Analyze data and identify opportunities to improve conversion and churn
Collaborate with technical product squads to ship features to increase conversion and reduce churn, globally.
Analyzing big data sets using data or statistical tools and deriving conclusions
Build financial models on a variety of strategic company initiatives
Revenue analysis of current channels to identify and improve profit drivers;
Create a churn prediction model
You will be just as comfortable working directly with data as well as communicating and proposing project improvements. You will showcase projects with detailed points to backup findings.
REQUIREMENTS
2+ years of experience with global recurring subscription platforms (Payments & Billing).
Bachelor’s/Master's degree or higher in natural sciences / computer science / mathematics.
Knowledge in statistics and analysis tools.
Understanding of databases and experience with SQL.
Experience building automation tools and programming is a big advantage.
Strong team-player who can work well across multiple cross-functional teams.
WHAT YOU CAN EXPECT FROM US:
Ownership: The possibility to shape and develop Asana Rebel in an early stage. Fast decisions and flat hierarchies help you to have an impact.
Excellence & Team: The chance to work in an excellent team of young professionals and ambitious founders. Be able to work with an awesome team, who love to help each other out and will care about you.
Flexibility: We take care of our team. You’ll get the things you need (just ask for it). We have flexible working hours, free yoga, free drinks and fruits, team events and a budget for attending conferences or off-the-job-trainings.
Apply now
ABOUT US
"Asana Rebel - Yoga Inspired Fitness" is a successful growing mobile fitness app. We are an international and dedicated team, based in the heart of Berlin. Our app has been featured multiple times by Apple and Google and is rated as one of the top health & fitness apps, with an average of more than 4.6 / 5 stars. With millions of users and a great vision, we strive to achieve global success. For this journey ahead, we are looking to further build up our team of bright minds and impressive personalities.
A great vision needs great people.
creditshelf GmbH, with its office in Frankfurt city, is one of the leading digital lenders for SMEs in Germany. creditshelf has been financing SMEs for years - with speed, simplicity and innovation. Credit decisions are made using a technology-based analysis developed by creditshelf. This pioneering company for digital SME financing in Germany was founded in 2014 in the financial centre, Frankfurt. The creditshelf team consists of skilled experts who have years of experience in financing SMEs. Due to the rapid growth of the company, we are looking for an entrepreneurial and professionally adept.
These will be your tasks :
You will join the data team to create and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).
Help our data scientist to build prediction models and integrate ML algorithms.
Maintain and improve software to make structured and unstructured data sources available, such as pdfs, websites, external data bases etc.
Be part of the whole process from prototype to production software for creditshelf’s analytical algorithms and data tools.
You will be responsible for the accurate storage of data in various data bases, depending on business requirements.
You're offering these qualifications :
A degree in computer science or related fields, preferably with a strong quantitative focus.
Familiarity with Knowledge Graph databases, NoSQL and related technology in an AWS surrounding desired.
Strong knowledge of the programming language Python required, advanced knowledge of C++, C#, or Java is a strong plus.
Experience in creating microservices and APIs to make them work.
Openness for working in an agile environment and a “why not?” attitude for challenges.
A high curiosity for SME lending and the financial sector.
We're offering these benefits :
We offer a modern and unconventional working environment with flat hierarchies. If you are a highly engaged person with an efficient and self-dependent approach, who thinks creatively and „out-of-the-box“, then we look forward to your application.
If you are interested in gaining experience within an exciting and diversified field and in working in a dynamic and growing FinTech environment, don’t hesitate to send us your application, including your CV and a motivational letter.
We look forward to getting to know you!
Interested in this job? Join us!
Contact Person : Antje Freysoldt
18/05/2018
Full time
creditshelf GmbH, with its office in Frankfurt city, is one of the leading digital lenders for SMEs in Germany. creditshelf has been financing SMEs for years - with speed, simplicity and innovation. Credit decisions are made using a technology-based analysis developed by creditshelf. This pioneering company for digital SME financing in Germany was founded in 2014 in the financial centre, Frankfurt. The creditshelf team consists of skilled experts who have years of experience in financing SMEs. Due to the rapid growth of the company, we are looking for an entrepreneurial and professionally adept.
These will be your tasks :
You will join the data team to create and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).
Help our data scientist to build prediction models and integrate ML algorithms.
Maintain and improve software to make structured and unstructured data sources available, such as pdfs, websites, external data bases etc.
Be part of the whole process from prototype to production software for creditshelf’s analytical algorithms and data tools.
You will be responsible for the accurate storage of data in various data bases, depending on business requirements.
You're offering these qualifications :
A degree in computer science or related fields, preferably with a strong quantitative focus.
Familiarity with Knowledge Graph databases, NoSQL and related technology in an AWS surrounding desired.
Strong knowledge of the programming language Python required, advanced knowledge of C++, C#, or Java is a strong plus.
Experience in creating microservices and APIs to make them work.
Openness for working in an agile environment and a “why not?” attitude for challenges.
A high curiosity for SME lending and the financial sector.
We're offering these benefits :
We offer a modern and unconventional working environment with flat hierarchies. If you are a highly engaged person with an efficient and self-dependent approach, who thinks creatively and „out-of-the-box“, then we look forward to your application.
If you are interested in gaining experience within an exciting and diversified field and in working in a dynamic and growing FinTech environment, don’t hesitate to send us your application, including your CV and a motivational letter.
We look forward to getting to know you!
Interested in this job? Join us!
Contact Person : Antje Freysoldt
Our mission is to become the world‘s leading digital player in the residential, commercial and industrial heating and cooling space. Our group‘s foundation as a 100% family business was laid out in 1917. Innovation is the key growth driver of our business. Become part of 12.000 people in 74 countries. Let us push past our current revenues of U$2.5bn.
We work on building and deploying novel analytical algorithms based on the data coming from different sources (e.g. our IoT products and industry 4.0 machines and applications). The Data Engineers are centrally managed, distributed to the locations Berlin, Allendorf and Wroclaw and are working closely together with our Data Scientists. Viessmann, a family run market leader in sustainable heating, industrial and cooling systems and a pioneer in the German “Energiewende”. We build applications for sustainability.
As Data Engineer you will work on the full stack; from data pipelines and processing to creating user facing applications.
Your responsibilities:
Build and run Microsoft Azure based Big Data platform
Handle multiple Terabytes of structured and poly-structured data with stream and batch processing
Build scalable data pipelines using state-of-the-art technologies in the Microsoft Azure Cloud
Develop data models and process raw data at scale to make it available for analysis
Craft and maintain world-class, high traffic analytical applications and services with a team of experienced Data Engineers
Implement, run and deploy algorithms in cooperation with Data Scientists using the Hadoop ecosystem (e.g. Spark, Hive, HDFS) and the Microsoft Azure Stack
Support us in the journey from our Big Data platform to a Data Lake
About you:
University degree in Computer Science or related fields of study
First programming skills in data engineering ideally using Python. Other languages like R and Scala are also welcome.
Good knowledge in relational and non-relational databases (e.g. MS SQL, MongoDB)
First experience with the Hadoop Framework (especially Spark, HDFS, Hive)
Good analysis/problem solving skills and the ability to develop creative solutions
Knowledge of functional programming, distributed computing and data analysis is a plus
English is a must, German is a plus
Team player with agile mindset
We offer:
Work on cutting edge data analytics projects in the field of IoT and Industry 4.0
Be part of a growing team of hungry Data Engineers, Data Science and Software Developers
Be an entrepreneur, bringing innovation to a german family company
Learn with us, push development boundaries and take over responsibility
... up for a challenge?
You are welcome to send your application either in German or in English! We are looking forward to hearing from you!
Contact : jobs@viessmanndigital.com
18/05/2018
Full time
Our mission is to become the world‘s leading digital player in the residential, commercial and industrial heating and cooling space. Our group‘s foundation as a 100% family business was laid out in 1917. Innovation is the key growth driver of our business. Become part of 12.000 people in 74 countries. Let us push past our current revenues of U$2.5bn.
We work on building and deploying novel analytical algorithms based on the data coming from different sources (e.g. our IoT products and industry 4.0 machines and applications). The Data Engineers are centrally managed, distributed to the locations Berlin, Allendorf and Wroclaw and are working closely together with our Data Scientists. Viessmann, a family run market leader in sustainable heating, industrial and cooling systems and a pioneer in the German “Energiewende”. We build applications for sustainability.
As Data Engineer you will work on the full stack; from data pipelines and processing to creating user facing applications.
Your responsibilities:
Build and run Microsoft Azure based Big Data platform
Handle multiple Terabytes of structured and poly-structured data with stream and batch processing
Build scalable data pipelines using state-of-the-art technologies in the Microsoft Azure Cloud
Develop data models and process raw data at scale to make it available for analysis
Craft and maintain world-class, high traffic analytical applications and services with a team of experienced Data Engineers
Implement, run and deploy algorithms in cooperation with Data Scientists using the Hadoop ecosystem (e.g. Spark, Hive, HDFS) and the Microsoft Azure Stack
Support us in the journey from our Big Data platform to a Data Lake
About you:
University degree in Computer Science or related fields of study
First programming skills in data engineering ideally using Python. Other languages like R and Scala are also welcome.
Good knowledge in relational and non-relational databases (e.g. MS SQL, MongoDB)
First experience with the Hadoop Framework (especially Spark, HDFS, Hive)
Good analysis/problem solving skills and the ability to develop creative solutions
Knowledge of functional programming, distributed computing and data analysis is a plus
English is a must, German is a plus
Team player with agile mindset
We offer:
Work on cutting edge data analytics projects in the field of IoT and Industry 4.0
Be part of a growing team of hungry Data Engineers, Data Science and Software Developers
Be an entrepreneur, bringing innovation to a german family company
Learn with us, push development boundaries and take over responsibility
... up for a challenge?
You are welcome to send your application either in German or in English! We are looking forward to hearing from you!
Contact : jobs@viessmanndigital.com
Willkommen im Team von comdirect. Über unsere Online-Plattform www.comdirect.de bieten wir Privatkunden alle Bankleistungen aus einer Hand: einfach, innovativ und hochprofessionell. Das Zuhause unserer Bank ist Quickborn bei Hamburg. Hier arbeiten über 1.000 Mitarbeiter gemeinsam Tag für Tag am Bankformat der Zukunft mit. Und hier erlebst Du eine Atmosphäre, in der Du viel gestalten und Deine Karriere weiter vorantreiben kannst. Gemeinsam mit engagierten Kollegen, die unseren Ruf als führende Direktbank für moderne Anleger sichern.
Begeisternd – Deine zukünftigen Aufgaben:
Mit Leidenschaft und Deiner Expertise bringen wir zusammen Marketing und Vertrieb auf ein neues Level. Mit Weitblick treibst Du die AI-Marketingstrategie voran und wirkst an unternehmensweiten AI-Initiativen mit.
Du identifizierst geeignete Anwendungsfälle im Marketing und Vertrieb für den Einsatz von Artificial-Intelligence-Verfahren und setzt diese gemeinsam im Team um.
Mit Deinem Überblick über Methoden, Tools und Architektur treibst Du die technologische Weiterentwicklung des Marketings beim Einsatz von AI voran.
Du gestaltest die Optimierung und Automatisierung der Kunden- und Interessenteninteraktionen der comdirect anhand von AI-gestützten Prozessen und trägst dadurch zur Steigerung der Vertriebs- und Serviceeffizienz bei.
Du übernimmst die Leitung und Umsetzung von Projekten und steuerst die projektbasierte Zusammenarbeit mit anderen Fachbereichen und externen Produktgebern.
Du begeisterst sowohl das Top Management als auch alle Beteiligten für Dein komplexes Aufgabengebiet und Deine Ideen!
Überzeugend – Dein heutiges Profil:
Du brennst dafür, die Bank von morgen mit den Möglichkeiten im Bereich Datenanalyse und AI entscheidend mitzugestalten. Dazu brauchen wir Dich, Deine Ideen, Deine Inspiration. Zeige uns, was in Dir steckt!
Du hast ein Studium der Mathematik, Physik oder Informatik, ggf. Wirtschaftswissenschaft oder in einem vergleichbaren Bereich erfolgreich abgeschlossen.
Du bringst mindestens drei Jahre Berufserfahrung im Umfeld Machine Learning, Artificial Intelligence oder im Bereich Big Data mit und hast bereits mehrjährige praktische Erfahrung im managen komplexer Themen.
Du verfügst über sehr gutes mathematisches, statistisches und analytisches Knowhow und hältst Dich in Methodik, Anbieterlandschaft und Umsetzungsstrategien auf dem Laufenden.
Unternehmerischer Weitblick gehört zu Deinen Stärken.
Du bist kommunikationsstark, begeisterungs- und teamfähig und hast schon komplexe Sachverhalte an fachfremde (Projekt-)Kollegen vermittelt? Umso besser!
Gute Englisch- sowie sehr gute Anwenderkenntnisse in MS Office und aktuellen Analysetools runden Dein Profil ab.
Darauf darfst Du Dich freuen:
Dich erwartet eine abwechslungsreiche Tätigkeit in einem motivierten und sympathischen Team, flache Hierarchien, direkte Kommunikation und vielfältige Möglichkeiten, Deine eigenen Ideen einzubringen. Arbeite in einem innovativen, familienfreundlichen und zukunftsorientierten Arbeitsumfeld. Wir bieten flexible Arbeitszeiten, die Möglichkeit zum mobilen Arbeiten und vielfältige Weiterbildungsmöglichkeiten.
Jetzt online bewerben
17/05/2018
Full time
Willkommen im Team von comdirect. Über unsere Online-Plattform www.comdirect.de bieten wir Privatkunden alle Bankleistungen aus einer Hand: einfach, innovativ und hochprofessionell. Das Zuhause unserer Bank ist Quickborn bei Hamburg. Hier arbeiten über 1.000 Mitarbeiter gemeinsam Tag für Tag am Bankformat der Zukunft mit. Und hier erlebst Du eine Atmosphäre, in der Du viel gestalten und Deine Karriere weiter vorantreiben kannst. Gemeinsam mit engagierten Kollegen, die unseren Ruf als führende Direktbank für moderne Anleger sichern.
Begeisternd – Deine zukünftigen Aufgaben:
Mit Leidenschaft und Deiner Expertise bringen wir zusammen Marketing und Vertrieb auf ein neues Level. Mit Weitblick treibst Du die AI-Marketingstrategie voran und wirkst an unternehmensweiten AI-Initiativen mit.
Du identifizierst geeignete Anwendungsfälle im Marketing und Vertrieb für den Einsatz von Artificial-Intelligence-Verfahren und setzt diese gemeinsam im Team um.
Mit Deinem Überblick über Methoden, Tools und Architektur treibst Du die technologische Weiterentwicklung des Marketings beim Einsatz von AI voran.
Du gestaltest die Optimierung und Automatisierung der Kunden- und Interessenteninteraktionen der comdirect anhand von AI-gestützten Prozessen und trägst dadurch zur Steigerung der Vertriebs- und Serviceeffizienz bei.
Du übernimmst die Leitung und Umsetzung von Projekten und steuerst die projektbasierte Zusammenarbeit mit anderen Fachbereichen und externen Produktgebern.
Du begeisterst sowohl das Top Management als auch alle Beteiligten für Dein komplexes Aufgabengebiet und Deine Ideen!
Überzeugend – Dein heutiges Profil:
Du brennst dafür, die Bank von morgen mit den Möglichkeiten im Bereich Datenanalyse und AI entscheidend mitzugestalten. Dazu brauchen wir Dich, Deine Ideen, Deine Inspiration. Zeige uns, was in Dir steckt!
Du hast ein Studium der Mathematik, Physik oder Informatik, ggf. Wirtschaftswissenschaft oder in einem vergleichbaren Bereich erfolgreich abgeschlossen.
Du bringst mindestens drei Jahre Berufserfahrung im Umfeld Machine Learning, Artificial Intelligence oder im Bereich Big Data mit und hast bereits mehrjährige praktische Erfahrung im managen komplexer Themen.
Du verfügst über sehr gutes mathematisches, statistisches und analytisches Knowhow und hältst Dich in Methodik, Anbieterlandschaft und Umsetzungsstrategien auf dem Laufenden.
Unternehmerischer Weitblick gehört zu Deinen Stärken.
Du bist kommunikationsstark, begeisterungs- und teamfähig und hast schon komplexe Sachverhalte an fachfremde (Projekt-)Kollegen vermittelt? Umso besser!
Gute Englisch- sowie sehr gute Anwenderkenntnisse in MS Office und aktuellen Analysetools runden Dein Profil ab.
Darauf darfst Du Dich freuen:
Dich erwartet eine abwechslungsreiche Tätigkeit in einem motivierten und sympathischen Team, flache Hierarchien, direkte Kommunikation und vielfältige Möglichkeiten, Deine eigenen Ideen einzubringen. Arbeite in einem innovativen, familienfreundlichen und zukunftsorientierten Arbeitsumfeld. Wir bieten flexible Arbeitszeiten, die Möglichkeit zum mobilen Arbeiten und vielfältige Weiterbildungsmöglichkeiten.
Jetzt online bewerben
Als ein international anerkanntes, norddeutsches ITBeratungsunternehmen suchen wir nach schlagkräftiger Verstärkung für unser hervorragendes Team.
Mit modernen Methoden und Werkzeugen suchen wir für unsere Kunden nach bisher ungenutzten Optimierungspotentialen in ihren Geschäftsabläufen, entwickeln wir für sie anspruchsvolle, individuelle IT-Lösungen und unterstützen sie beim Betrieb. Unsere namhaften Kunden, vom Mittelstand bis zu multinationalen Konzernen, sind in vielen Branchen tätig. Sie wollen auf höchstem Niveau beraten werden und suchen innovative, efziente Lösungen für anspruchsvolle Aufgaben. Sie erwarten von uns eine umfassende, aktuelle fachliche Expertise, sowie eine exzellente Betreuung ihrer IT-Umgebung.
Möchten Sie sich den Herausforderungen unserer Kunden stellen, in einem starken Team verantwortungsvoll Aufgaben für sie lösen, viel lernen und dabei noch Spaß haben?
Was bringen Sie mit?
Sie sind begeistert von den Chancen, die Künstliche Intelligenz heutzutage bietet, und wissen, wie Unternehmen davon proftieren können.
Sie haben Erfahrung im Bereich Künstliche Intelligenz (KI) und kennen sich mit Begrifen wie „Deep Learning“, „Machine Learning“ oder „Neuronale Netze“ aus.
Sie verfügen über Programmierkenntnisse und/oder Erfahrungen in der Administration.
Sie haben eine gute Kommunikations- und Teamfähigkeit, arbeiten eigenständig und übernehmen gerne schnell Verantwortung.
Sie suchen eine abwechslungsreiche Tätigkeit mit langfristiger Perspektive und dabei die Gelegenheit, immer wieder Neues dazu zu lernen.
Falls Sie aktuell studieren: Wir bieten auch Praktika, Thesis-Arbeiten und studienbegleitende Jobs an, die Sie fachlich fordern und berufich weiter bringen.
Schicken Sie uns Ihre Bewerbung an: bewerbung@assono.de
Weitere Informationen fnden Sie auf: www.assono.de/karriere
assono GmbH
Standorte: Kiel, Hamburg
Lise-Meitner-Straße 1—7
24223 Schwentinental (bei Kiel)
17/05/2018
Full time
Als ein international anerkanntes, norddeutsches ITBeratungsunternehmen suchen wir nach schlagkräftiger Verstärkung für unser hervorragendes Team.
Mit modernen Methoden und Werkzeugen suchen wir für unsere Kunden nach bisher ungenutzten Optimierungspotentialen in ihren Geschäftsabläufen, entwickeln wir für sie anspruchsvolle, individuelle IT-Lösungen und unterstützen sie beim Betrieb. Unsere namhaften Kunden, vom Mittelstand bis zu multinationalen Konzernen, sind in vielen Branchen tätig. Sie wollen auf höchstem Niveau beraten werden und suchen innovative, efziente Lösungen für anspruchsvolle Aufgaben. Sie erwarten von uns eine umfassende, aktuelle fachliche Expertise, sowie eine exzellente Betreuung ihrer IT-Umgebung.
Möchten Sie sich den Herausforderungen unserer Kunden stellen, in einem starken Team verantwortungsvoll Aufgaben für sie lösen, viel lernen und dabei noch Spaß haben?
Was bringen Sie mit?
Sie sind begeistert von den Chancen, die Künstliche Intelligenz heutzutage bietet, und wissen, wie Unternehmen davon proftieren können.
Sie haben Erfahrung im Bereich Künstliche Intelligenz (KI) und kennen sich mit Begrifen wie „Deep Learning“, „Machine Learning“ oder „Neuronale Netze“ aus.
Sie verfügen über Programmierkenntnisse und/oder Erfahrungen in der Administration.
Sie haben eine gute Kommunikations- und Teamfähigkeit, arbeiten eigenständig und übernehmen gerne schnell Verantwortung.
Sie suchen eine abwechslungsreiche Tätigkeit mit langfristiger Perspektive und dabei die Gelegenheit, immer wieder Neues dazu zu lernen.
Falls Sie aktuell studieren: Wir bieten auch Praktika, Thesis-Arbeiten und studienbegleitende Jobs an, die Sie fachlich fordern und berufich weiter bringen.
Schicken Sie uns Ihre Bewerbung an: bewerbung@assono.de
Weitere Informationen fnden Sie auf: www.assono.de/karriere
assono GmbH
Standorte: Kiel, Hamburg
Lise-Meitner-Straße 1—7
24223 Schwentinental (bei Kiel)
Salary : From £80,000 to £125,000 per annum
Specialism : Data Scientist, Data Analysis, R, SAS, Python, SQL, Statistical Learning, MySQL
Sector : Information Technology
A Global Organisation is looking to bring on board multiple Senior Data Scientist. As a (Senior) Data Scientist, you will design, develop and calculate spatial market data in various resolutions, including street segments and grid cells, nationally and internationally. You will optimise and automate existing analysis and production steps and develop processes for creating new data products.
This is a critical role for the organisation and as such the successful candidate will have the following:
Essentials Experience & Skills Required:
University degree (MSc, PhD) in geography, geoinformatics, statistics, business informatics, sociology, psychology, or similar with a strong focus on quantitative methods and techniques
Typically, 2+ years of job experience (5+ years for a senior role) in data analysis / data science or a Ph.D. in an area of applied (geo-)statistical research
Expert knowledge in R (must-have) and ideally additional programming knowledge (e.g. in SAS, Python, SQL)
Skills in (spatial) data analysis (statistical learning, data visualisation, data management), in process automation and functional programming
Advanced skills in relational databases (e.g. PostgreSQL, MySQL or similar) at least in one GI system (e.g., ArcGIS, QGIS)
This is a perfect opportunity for a Data Scientist looking to take a step up in their career, to join this well-established global consultancy.
Consultant : George Cornish
Phone : 0203 887 8700
Apply
17/05/2018
Full time
Salary : From £80,000 to £125,000 per annum
Specialism : Data Scientist, Data Analysis, R, SAS, Python, SQL, Statistical Learning, MySQL
Sector : Information Technology
A Global Organisation is looking to bring on board multiple Senior Data Scientist. As a (Senior) Data Scientist, you will design, develop and calculate spatial market data in various resolutions, including street segments and grid cells, nationally and internationally. You will optimise and automate existing analysis and production steps and develop processes for creating new data products.
This is a critical role for the organisation and as such the successful candidate will have the following:
Essentials Experience & Skills Required:
University degree (MSc, PhD) in geography, geoinformatics, statistics, business informatics, sociology, psychology, or similar with a strong focus on quantitative methods and techniques
Typically, 2+ years of job experience (5+ years for a senior role) in data analysis / data science or a Ph.D. in an area of applied (geo-)statistical research
Expert knowledge in R (must-have) and ideally additional programming knowledge (e.g. in SAS, Python, SQL)
Skills in (spatial) data analysis (statistical learning, data visualisation, data management), in process automation and functional programming
Advanced skills in relational databases (e.g. PostgreSQL, MySQL or similar) at least in one GI system (e.g., ArcGIS, QGIS)
This is a perfect opportunity for a Data Scientist looking to take a step up in their career, to join this well-established global consultancy.
Consultant : George Cornish
Phone : 0203 887 8700
Apply
creditshelf GmbH, with its office in Frankfurt city, is one of the leading digital lenders for SMEs in Germany. creditshelf has been financing SMEs for years - with speed, simplicity and innovation. Credit decisions are made using a technology-based analysis developed by creditshelf. This pioneering company for digital SME financing in Germany was founded in 2014 in the financial centre, Frankfurt. The creditshelf team consists of skilled experts who have years of experience in financing SMEs. Due to the rapid growth of the company, we are looking for an entrepreneurial and professionally adept.
These will be your tasks:
You will join the data team to create and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).
Create, maintain and improve cutting edge models for credit risk, portfolio management, fraud prevention, stress testing, etc.
Will be responsible for the design, development and implementation of prediction models and deep learning algorithms.
Educate and coach our teams to demonstrate the power of data-driven decision making to help build creditshelf as a data-driven company
You're offering these qualifications:
A degree in STEM, Finance or other fields with a strong quantitative focus
A couple of years of work experience requiring data science skills
Proven programming skills in mathematical languages and libraries (such as MatLab, R, Python, numpy, scipy, etc.)
A high curiosity for SME lending and the financial sector
Thrive in the world of big data and artificial intelligence
Openness for working in an agile environment and a “why not?” attitude for challenges
Familiarity with Knowledge Graph databases, NoSQL and related technology in an AWS surrounding is a plus
We're offering these benefits:
We offer a modern and unconventional working environment with flat hierarchies. If you are a highly engaged person with an efficient and self-dependent approach, who thinks creatively and „out-of-the-box“, then we look forward to your application.
If you are interested in gaining experience within an exciting and diversified field and in working in a dynamic and growing FinTech environment, then don’t hesitate to send us your application, including your CV, a motivational letter and (academic and work) references.
We look forward to getting to know you!
17/05/2018
Full time
creditshelf GmbH, with its office in Frankfurt city, is one of the leading digital lenders for SMEs in Germany. creditshelf has been financing SMEs for years - with speed, simplicity and innovation. Credit decisions are made using a technology-based analysis developed by creditshelf. This pioneering company for digital SME financing in Germany was founded in 2014 in the financial centre, Frankfurt. The creditshelf team consists of skilled experts who have years of experience in financing SMEs. Due to the rapid growth of the company, we are looking for an entrepreneurial and professionally adept.
These will be your tasks:
You will join the data team to create and shape data and technology driven solutions across creditshelf’s various teams (Risk, Sales, Marketing, etc).
Create, maintain and improve cutting edge models for credit risk, portfolio management, fraud prevention, stress testing, etc.
Will be responsible for the design, development and implementation of prediction models and deep learning algorithms.
Educate and coach our teams to demonstrate the power of data-driven decision making to help build creditshelf as a data-driven company
You're offering these qualifications:
A degree in STEM, Finance or other fields with a strong quantitative focus
A couple of years of work experience requiring data science skills
Proven programming skills in mathematical languages and libraries (such as MatLab, R, Python, numpy, scipy, etc.)
A high curiosity for SME lending and the financial sector
Thrive in the world of big data and artificial intelligence
Openness for working in an agile environment and a “why not?” attitude for challenges
Familiarity with Knowledge Graph databases, NoSQL and related technology in an AWS surrounding is a plus
We're offering these benefits:
We offer a modern and unconventional working environment with flat hierarchies. If you are a highly engaged person with an efficient and self-dependent approach, who thinks creatively and „out-of-the-box“, then we look forward to your application.
If you are interested in gaining experience within an exciting and diversified field and in working in a dynamic and growing FinTech environment, then don’t hesitate to send us your application, including your CV, a motivational letter and (academic and work) references.
We look forward to getting to know you!
DEINE AUFGABEN BEI UNS :
Betreuung von Kunden mit Blick auf Data Science und Advanced Analytics
Ansprechpartner bei Data Science Fragestellungen, sowohl intern als auch extern
Durchführung von themenbezogenen Workshops und Seminaren
(Weiter-)Entwicklung von Data Science Angeboten im Digital Analytics Umfeld
Enger und direkter Austausch mit dem Google Analytics, Attribution, DoubleClick und Google Clouds Team
UNSERE ANFORDERUNGEN AN DICH :
Nachweisbare Erfahrung in den Bereichen Advanced Data Analytics, Marketing Analytics, Marketing Intelligence, Business Intelligence, Digital Analytics und/oder Online Marketing
Kenntnisse in statistischen Verfahren und/oder Machine Learning, z. B. Regressionsanalysen, Clusteranalysen, Zeitreihenanalysen, Attribution, Klassi kation, Predictive Models, Customer Journey Analysen
Kenntnisse in R oder Python
Erfahrung mit Google Analytics, BigQuery etc. wünschenswert
Kundenorientiertes und stark analytisches Denken sowie ein ausgeprägtes Zahlen- und betriebswirtschaftliches Verständnis
Teamfähigkeit, Einsatzbereitschaft und Spaß, sich in neue Themengebiete einzuarbeiten
Verhandlungssichere Deutsch- und Englischkenntnisse
WIR BIETEN DIR :
Ein Job mit frühzeitiger Verantwortung und sehr hohem Networking-Potenzial
Sehr gutes Netzwerk zu den Big Playern in der Branche (auch international)
Faire Arbeitszeiten
Entwicklungschancen mit Aufstieg zur Führungspersönlichkeit
Professionelle Hardwareausstattung am Arbeitsplatz
Ausgeprägte Weiterentwicklungs- und Lernmöglichkeiten
Besuche von Online-Konferenzen (Wir sind Aussteller, Sponsor und Speaker)
Team-Events, Partys, Tischkicker u. v. m.
ÜBER TRAKKEN
Trakken ist ein Online Unternehmen, welches sich auf die Bereiche Digital Analytics und Conversion Optimierung spezialisiert hat. Als zertifizierter Partner von Google Analytics, DoubleClick und Optimizely beraten wir namhafte nationale und internationale Kunden.
Bei uns gibt es flache Hierarchien in einem angenehmen professionellen Umfeld mit Freiraum für eigene Ideen. Neben unserem Standort in Hamburg, sind wir auch in München, Barcelona und Zürich vertreten.
KONTAKT
E-Mail: info@trakken.de Telefon: 040 - 284 53 - 6700 Fax: 040 - 284 53 - 6799
Trakken Web Services GmbH Zirkusweg 1 20359 Hamburg
17/05/2018
Full time
DEINE AUFGABEN BEI UNS :
Betreuung von Kunden mit Blick auf Data Science und Advanced Analytics
Ansprechpartner bei Data Science Fragestellungen, sowohl intern als auch extern
Durchführung von themenbezogenen Workshops und Seminaren
(Weiter-)Entwicklung von Data Science Angeboten im Digital Analytics Umfeld
Enger und direkter Austausch mit dem Google Analytics, Attribution, DoubleClick und Google Clouds Team
UNSERE ANFORDERUNGEN AN DICH :
Nachweisbare Erfahrung in den Bereichen Advanced Data Analytics, Marketing Analytics, Marketing Intelligence, Business Intelligence, Digital Analytics und/oder Online Marketing
Kenntnisse in statistischen Verfahren und/oder Machine Learning, z. B. Regressionsanalysen, Clusteranalysen, Zeitreihenanalysen, Attribution, Klassi kation, Predictive Models, Customer Journey Analysen
Kenntnisse in R oder Python
Erfahrung mit Google Analytics, BigQuery etc. wünschenswert
Kundenorientiertes und stark analytisches Denken sowie ein ausgeprägtes Zahlen- und betriebswirtschaftliches Verständnis
Teamfähigkeit, Einsatzbereitschaft und Spaß, sich in neue Themengebiete einzuarbeiten
Verhandlungssichere Deutsch- und Englischkenntnisse
WIR BIETEN DIR :
Ein Job mit frühzeitiger Verantwortung und sehr hohem Networking-Potenzial
Sehr gutes Netzwerk zu den Big Playern in der Branche (auch international)
Faire Arbeitszeiten
Entwicklungschancen mit Aufstieg zur Führungspersönlichkeit
Professionelle Hardwareausstattung am Arbeitsplatz
Ausgeprägte Weiterentwicklungs- und Lernmöglichkeiten
Besuche von Online-Konferenzen (Wir sind Aussteller, Sponsor und Speaker)
Team-Events, Partys, Tischkicker u. v. m.
ÜBER TRAKKEN
Trakken ist ein Online Unternehmen, welches sich auf die Bereiche Digital Analytics und Conversion Optimierung spezialisiert hat. Als zertifizierter Partner von Google Analytics, DoubleClick und Optimizely beraten wir namhafte nationale und internationale Kunden.
Bei uns gibt es flache Hierarchien in einem angenehmen professionellen Umfeld mit Freiraum für eigene Ideen. Neben unserem Standort in Hamburg, sind wir auch in München, Barcelona und Zürich vertreten.
KONTAKT
E-Mail: info@trakken.de Telefon: 040 - 284 53 - 6700 Fax: 040 - 284 53 - 6799
Trakken Web Services GmbH Zirkusweg 1 20359 Hamburg
Tätigkeitsfeld : IT
Hierin sind Sie Profi
Verstärken Sie als einer der ersten Kollegen die neu geschaffene und sich im Aufbau befindliche Abteilung Digitalisierung, die als zentrale Einheit die digitale Transformation im Unternehmen vorantreibt. Als Teamplayer arbeiten Sie an der übergreifenden Data Analytics & KI-Strategie für Union Investment und gemeinsam mit Data Engineers, Data Scientists und Datenvisualisierungs-Experten an der Umsetzung von Use Cases für die Fachbereiche. Zu Ihren Aufgaben gehören:
Unterstützung bei der Weiterentwicklung der Data Analytics & KI-Strategie für Union Investment
Ausbau des Kompetenzfeldes Data Analytics & KI sowie proaktives Treiben von weiteren Maßnahmen zur Operationalisierung der Strategie
Mitarbeit bei der Gestaltung von Prozessen, Methodik und Technologie
Generierung von datengetriebenen, innovativen Ideen, Use Cases für Prozessverbesserungen und neue Geschäftsmodelle in Zusammenarbeit mit den Fachbereichen sowie den Kollegen aus der IT
Beratung und methodische Unterstützung der Fachbereiche bei der Umsetzung von Prototypen und MVPs
Identifizieren von möglichen Synergien durch ein Silo-übergreifendes Denken
Unterstützung bei der Schulung von Mitarbeitern sowie Förderung des Erfahrungsaustauschs
Dahinter stehen Sie als Mensch
Wir freuen uns auf Ihre Bewerbung, wenn Sie Folgendes mitbringen:
Relevante Berufserfahrung aus den Bereichen Big Data und Advanced Analytics/Machine Learning, idealerweise in beratender Rolle
Umfangreiches Verständnis für relevante Dimensionen einer Data Analytics & KI-Strategie
Nachweisbare Projekterfolge bei der Generierung von Ideen / Use Cases bis hin zum produktiven Einsatz (bitte Praxisbeispiele in der Bewerbung angeben)
Umfangreiche praktische Erfahrung in der Auswahl, Anwendung und Nutzung von relevanten Technologien und Tools und dem Entwurf entsprechender Architekturen
„Can Do“ Mentalität, verbunden mit der Fähigkeit, sich in größeren Strukturen zurechtzufinden
Unternehmer- und Dienstleistermentalität, Kommunikationsstärke, Eigeninitiative, hohe soziale Kompetenz und Mut zu Neuem
Erfolgreich abgeschlossenes Studium der Fachrichtung (Wirtschafts-) Informatik, (Wirtschafts-) Ingenieurwesen, Naturwissenschaften, Mathematik, Digitale Medien, o.ä.
Was uns auszeichnet
Erfolg ist niemals einfach. Darum brauchen wir Profis. Damit sie Lösungen erarbeiten, die der Markt versteht. So sind wir einer der größten Asset-Manager geworden. Und haben einen Ort geschaffen, an dem man mit höchstem Anspruch und im partnerschaftlichen Miteinander arbeitet. Finden Sie Ihren Platz bei uns und profitieren Sie von unserer ausgezeichneten Personalarbeit:
Kontakt & Bewerbung
Christiane Nösner Telefon: + 49 69 2567-1848
Besuchen Sie uns auf unseren Social Media-Kanälen: www.facebook.de/unioninvestmentkarriere www.xing.com/companies/unioninvestment
Schneller bewerben – schneller zum Ziel. Nutzen Sie unser Kurzformular und bewerben Sie sich in wenigen Minuten online. Wir benötigen lediglich Kontaktangaben, Anschreiben und Lebenslauf von Ihnen.
17/05/2018
Full time
Tätigkeitsfeld : IT
Hierin sind Sie Profi
Verstärken Sie als einer der ersten Kollegen die neu geschaffene und sich im Aufbau befindliche Abteilung Digitalisierung, die als zentrale Einheit die digitale Transformation im Unternehmen vorantreibt. Als Teamplayer arbeiten Sie an der übergreifenden Data Analytics & KI-Strategie für Union Investment und gemeinsam mit Data Engineers, Data Scientists und Datenvisualisierungs-Experten an der Umsetzung von Use Cases für die Fachbereiche. Zu Ihren Aufgaben gehören:
Unterstützung bei der Weiterentwicklung der Data Analytics & KI-Strategie für Union Investment
Ausbau des Kompetenzfeldes Data Analytics & KI sowie proaktives Treiben von weiteren Maßnahmen zur Operationalisierung der Strategie
Mitarbeit bei der Gestaltung von Prozessen, Methodik und Technologie
Generierung von datengetriebenen, innovativen Ideen, Use Cases für Prozessverbesserungen und neue Geschäftsmodelle in Zusammenarbeit mit den Fachbereichen sowie den Kollegen aus der IT
Beratung und methodische Unterstützung der Fachbereiche bei der Umsetzung von Prototypen und MVPs
Identifizieren von möglichen Synergien durch ein Silo-übergreifendes Denken
Unterstützung bei der Schulung von Mitarbeitern sowie Förderung des Erfahrungsaustauschs
Dahinter stehen Sie als Mensch
Wir freuen uns auf Ihre Bewerbung, wenn Sie Folgendes mitbringen:
Relevante Berufserfahrung aus den Bereichen Big Data und Advanced Analytics/Machine Learning, idealerweise in beratender Rolle
Umfangreiches Verständnis für relevante Dimensionen einer Data Analytics & KI-Strategie
Nachweisbare Projekterfolge bei der Generierung von Ideen / Use Cases bis hin zum produktiven Einsatz (bitte Praxisbeispiele in der Bewerbung angeben)
Umfangreiche praktische Erfahrung in der Auswahl, Anwendung und Nutzung von relevanten Technologien und Tools und dem Entwurf entsprechender Architekturen
„Can Do“ Mentalität, verbunden mit der Fähigkeit, sich in größeren Strukturen zurechtzufinden
Unternehmer- und Dienstleistermentalität, Kommunikationsstärke, Eigeninitiative, hohe soziale Kompetenz und Mut zu Neuem
Erfolgreich abgeschlossenes Studium der Fachrichtung (Wirtschafts-) Informatik, (Wirtschafts-) Ingenieurwesen, Naturwissenschaften, Mathematik, Digitale Medien, o.ä.
Was uns auszeichnet
Erfolg ist niemals einfach. Darum brauchen wir Profis. Damit sie Lösungen erarbeiten, die der Markt versteht. So sind wir einer der größten Asset-Manager geworden. Und haben einen Ort geschaffen, an dem man mit höchstem Anspruch und im partnerschaftlichen Miteinander arbeitet. Finden Sie Ihren Platz bei uns und profitieren Sie von unserer ausgezeichneten Personalarbeit:
Kontakt & Bewerbung
Christiane Nösner Telefon: + 49 69 2567-1848
Besuchen Sie uns auf unseren Social Media-Kanälen: www.facebook.de/unioninvestmentkarriere www.xing.com/companies/unioninvestment
Schneller bewerben – schneller zum Ziel. Nutzen Sie unser Kurzformular und bewerben Sie sich in wenigen Minuten online. Wir benötigen lediglich Kontaktangaben, Anschreiben und Lebenslauf von Ihnen.
In the E.ON Advanced Analytics and Data Lab department we're analyzing and developing beautiful solutions, utilizing advanced big data technologies in exciting ways to provide the best service, improve the efficiency and make things smarter, better and cleaner for our customers. If you want to get your hands on our data, we're looking for an experienced Data Scientist for Online Analytics to make data as a core value for todays and future business by delivering advanced data analytical insights.This position can be either based in Munich or Essen. Join the team as a Data Scientist for Online Analytics (m/f)
Responsibilities
Being part of a cool team of experts in the area of data science, data engineering and visual analytics you will work at the leading edge of the energy revolution by taking new and innovative ideas from pilot to commercially viable reality.
In doing that you will:
Discuss ideas with the business units and proof the feasibility in pilot projects, solving exciting problems to drive improvements to web traffic, conversion, engagement, and retention.
Deliver on web goals and targets by leveraging a vast array of web data, analyzing customer behavior and developing new and innovative online analytics methods.
Develop algorithms for data preparation, feature extraction, data analytics and machine learning.
Design data models on RDBMS as well as in Hadoop HDFS, Hive and Hbase.
Support the development of productive solutions together with product development, data engineers and data architects.
Communicate and discuss complex analytical and technical concepts to a business audience.
Qualifications
Ph.D. or master degree in Computer Science, Mathematics, Business Administration or related quantitative discipline
Working experience as a data scientist with a deep understanding in statistics and data mining and their applications to online marketing
Wide experience in applying different machine learning approaches to support advanced targeting, gain insights around the customer journey and model propensity to buy
Coding in Python or R, SQL and Spark
Significant technical and analytical work experience in online marketing data and tools for digital analytics (Google Analytics preferred), organic/paid search analysis, social listening, testing and customer relationship management
Experience in implementing machine learning solutions on AWS or Azure Hadoop
Real passion for science and problem solving by working on data, paired with a strong motivation to deliver valuable solutions for business needs
Enjoying collaborating internationally and across cultural borders, willing to undertake international business travel
Excellent writing and communication skills, considering varying levels of precision and matching the audience
Fluent in English; German language skills are seen as a plus
What we offer
the chance to shape E.ON’s future,
exciting business challenges to be solved,
a space to develop ideas and create personal impact,
an agile and hands-on environment.
Therefore, if you…
want to work on complex and innovative projects,
aspire to take the next step and inspire others with your ideas,
grow on major challenges and just get started when others give up,
…you will be our perfect match!
This includes:
flexible working hours,
regular trainings,
competitive salary,
pension scheme,
good development possibility,
discretionary bonus scheme
Apply online
E.ON is committed to equal opportunities and actively promotes diversity, equality and flexibility.
17/05/2018
Full time
In the E.ON Advanced Analytics and Data Lab department we're analyzing and developing beautiful solutions, utilizing advanced big data technologies in exciting ways to provide the best service, improve the efficiency and make things smarter, better and cleaner for our customers. If you want to get your hands on our data, we're looking for an experienced Data Scientist for Online Analytics to make data as a core value for todays and future business by delivering advanced data analytical insights.This position can be either based in Munich or Essen. Join the team as a Data Scientist for Online Analytics (m/f)
Responsibilities
Being part of a cool team of experts in the area of data science, data engineering and visual analytics you will work at the leading edge of the energy revolution by taking new and innovative ideas from pilot to commercially viable reality.
In doing that you will:
Discuss ideas with the business units and proof the feasibility in pilot projects, solving exciting problems to drive improvements to web traffic, conversion, engagement, and retention.
Deliver on web goals and targets by leveraging a vast array of web data, analyzing customer behavior and developing new and innovative online analytics methods.
Develop algorithms for data preparation, feature extraction, data analytics and machine learning.
Design data models on RDBMS as well as in Hadoop HDFS, Hive and Hbase.
Support the development of productive solutions together with product development, data engineers and data architects.
Communicate and discuss complex analytical and technical concepts to a business audience.
Qualifications
Ph.D. or master degree in Computer Science, Mathematics, Business Administration or related quantitative discipline
Working experience as a data scientist with a deep understanding in statistics and data mining and their applications to online marketing
Wide experience in applying different machine learning approaches to support advanced targeting, gain insights around the customer journey and model propensity to buy
Coding in Python or R, SQL and Spark
Significant technical and analytical work experience in online marketing data and tools for digital analytics (Google Analytics preferred), organic/paid search analysis, social listening, testing and customer relationship management
Experience in implementing machine learning solutions on AWS or Azure Hadoop
Real passion for science and problem solving by working on data, paired with a strong motivation to deliver valuable solutions for business needs
Enjoying collaborating internationally and across cultural borders, willing to undertake international business travel
Excellent writing and communication skills, considering varying levels of precision and matching the audience
Fluent in English; German language skills are seen as a plus
What we offer
the chance to shape E.ON’s future,
exciting business challenges to be solved,
a space to develop ideas and create personal impact,
an agile and hands-on environment.
Therefore, if you…
want to work on complex and innovative projects,
aspire to take the next step and inspire others with your ideas,
grow on major challenges and just get started when others give up,
…you will be our perfect match!
This includes:
flexible working hours,
regular trainings,
competitive salary,
pension scheme,
good development possibility,
discretionary bonus scheme
Apply online
E.ON is committed to equal opportunities and actively promotes diversity, equality and flexibility.
Kalypso is looking for the absolute best to join our world-class team. We want diverse, balanced individuals who are willing to do whatever it takes to provide the sustainable results our clients expect. At the same time, we are looking for real, multi-dimensional people - characters with character - who complement their expertise and intelligence with personality and integrity.
Kalypso is always looking for great people to join us in delivering better results from innovation. Our job postings listed to the right detail some of the skills and experience that we value, but are by no means comprehensive. If you feel you would be a great fit, we want to hear from you.
Kalypso is a consulting firm dedicated to helping clients deliver on the promise of innovation. We believe that innovation is the single most important factor for long-term growth and success.
We are seeking exceptional candidates who are passionate about the exciting world of digital technologies, including the Internet of Things, Big Data, Advanced Analytics, Artificial Intelligence and Machine Learning.
As an Analytics Developer, you will help our clients apply leading data analysis and artificial intelligence techniques to challenging business problems, all while becoming proficient in the most highly valued technological skillset in the global marketplace.
Our work is fast-paced, demanding, and provides unparalleled exposure to unique opportunities. The learning curve can be quite steep, but our team will help you build confidence and enable you to explore areas that are of interest to you. Our focus is on helping clients extract business value from cutting edge technical capabilities, not just on making the technology work. In this role you will help design, develop, and test solutions for a diverse set of clients in industries such as Manufacturing, High Tech, Life Sciences, Consumer Goods and Retail.
To qualify for our Developer position, you should possess the following:
Undergraduate degree in Computer Science or Information Systems with supplementary experience in Data Science and/or Statistics
Fluency in spoken and written English
Strong academic performance: with minimum of a 2.1 strongly preferred
Relevant work experience is highly preferred
Superior analytical, technical and problem-solving skills
Effective interpersonal, organizational, and time management skills
Creativity, self-confidence and flexibility
No relocation necessary
All applicants applying for EU based job openings must be authorized to work in the EU
Willingness to travel (required) up to 80%
Developers should possess a selection of the following technical skills and have the ability and aptitude to be trained in areas where the candidate has gaps:
Proficiency with Machine Learning model development, training, validation and application
Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models and statistics
Data manipulation techniques, including ETL/ETLV
Experience developing in Java, .NET and SQL languages
Experience with R, Python or Scala scripting techniques
Experience with data visualization platforms like D3.js, Tableau, Kibana, HTML5 and CSS
Competency in Graph/NoSQL database techniques, and RDBS platforms like Oracle and MS SQL Server
Experience using and developing RESTful and SOAP Web Services
General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.)
Developers should possess the following consulting skills:
Versatility, flexibility and proactivity when resolving technical issues and dealing with ambiguity
Understanding of business requirements and the process of translating them into well-engineered and integrated technical solutions; attention to detail
Commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines
Customer-focused to understand and appropriately respond to customers’ business needs
Demonstrated ability to interface effectively and collaborate with clients, peers and management to help develop solutions and ensure stakeholder buy-in.
16/05/2018
Full time
Kalypso is looking for the absolute best to join our world-class team. We want diverse, balanced individuals who are willing to do whatever it takes to provide the sustainable results our clients expect. At the same time, we are looking for real, multi-dimensional people - characters with character - who complement their expertise and intelligence with personality and integrity.
Kalypso is always looking for great people to join us in delivering better results from innovation. Our job postings listed to the right detail some of the skills and experience that we value, but are by no means comprehensive. If you feel you would be a great fit, we want to hear from you.
Kalypso is a consulting firm dedicated to helping clients deliver on the promise of innovation. We believe that innovation is the single most important factor for long-term growth and success.
We are seeking exceptional candidates who are passionate about the exciting world of digital technologies, including the Internet of Things, Big Data, Advanced Analytics, Artificial Intelligence and Machine Learning.
As an Analytics Developer, you will help our clients apply leading data analysis and artificial intelligence techniques to challenging business problems, all while becoming proficient in the most highly valued technological skillset in the global marketplace.
Our work is fast-paced, demanding, and provides unparalleled exposure to unique opportunities. The learning curve can be quite steep, but our team will help you build confidence and enable you to explore areas that are of interest to you. Our focus is on helping clients extract business value from cutting edge technical capabilities, not just on making the technology work. In this role you will help design, develop, and test solutions for a diverse set of clients in industries such as Manufacturing, High Tech, Life Sciences, Consumer Goods and Retail.
To qualify for our Developer position, you should possess the following:
Undergraduate degree in Computer Science or Information Systems with supplementary experience in Data Science and/or Statistics
Fluency in spoken and written English
Strong academic performance: with minimum of a 2.1 strongly preferred
Relevant work experience is highly preferred
Superior analytical, technical and problem-solving skills
Effective interpersonal, organizational, and time management skills
Creativity, self-confidence and flexibility
No relocation necessary
All applicants applying for EU based job openings must be authorized to work in the EU
Willingness to travel (required) up to 80%
Developers should possess a selection of the following technical skills and have the ability and aptitude to be trained in areas where the candidate has gaps:
Proficiency with Machine Learning model development, training, validation and application
Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models and statistics
Data manipulation techniques, including ETL/ETLV
Experience developing in Java, .NET and SQL languages
Experience with R, Python or Scala scripting techniques
Experience with data visualization platforms like D3.js, Tableau, Kibana, HTML5 and CSS
Competency in Graph/NoSQL database techniques, and RDBS platforms like Oracle and MS SQL Server
Experience using and developing RESTful and SOAP Web Services
General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.)
Developers should possess the following consulting skills:
Versatility, flexibility and proactivity when resolving technical issues and dealing with ambiguity
Understanding of business requirements and the process of translating them into well-engineered and integrated technical solutions; attention to detail
Commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines
Customer-focused to understand and appropriately respond to customers’ business needs
Demonstrated ability to interface effectively and collaborate with clients, peers and management to help develop solutions and ensure stakeholder buy-in.
Aufgabe :
Als Big Data Platform Engineer sind Sie verantwortlich für die Weiterentwicklung des Big Data & Advanced Analytics Lab und der Produktionsplattform. Dazu gehört der Aufbau und Support von Data Scientist Arbeitsumgebungen sowie das damit verbundene Release Management. Sie setzen die neuesten Technologien im Rahmen Ihres Verantwortungsbereichs um und sorgen dadurch für die Erweiterung der Einsatzmöglichkeiten unserer Produktionsplattform. Darüber hinaus leisten Sie bei Bedarf den 3rd Level Support.
Profil :
Abgeschlossenes Hochschulstudium mit Schwerpunkt Informatik oder gleichwertige Qualifikation
Mehrjährige Berufserfahrung im Bereich Datenanalyse/Datenwissenschaft/Advanced Analytics
Erfahrung mit den Prozessen der agilen Softwareentwicklung
Fundierte Kentnisse über Big Data Stacks (insbesondere Apache Hadoop und Hortonworks Data Platform)
Fundierte Kentnisse über Advanced Analytics Umgebungen (u. a. Python/ Scala/ R Programmierumgebungen und mathematisch wissenschaftliche Bibliotheken)
Fundierte Kentnisse über Data Scientist Umgebungen (u. a. Notebook Technologien und Security) Verarbeitung von Daten per Streaming (u.a. Kafka)
Gute Englisch- und Deutschkenntnisse in Wort und Schrift
Die Commerzbank
Die Commerzbank ist mit rund 50.000 Mitarbeitern eine führende, international agierende Geschäftsbank mit Standorten in knapp 50 Ländern. Mit den beiden Geschäftsbereichen Privat- und Unternehmerkunden sowie Firmenkunden bietet sie ein umfassendes Portfolio an Finanzdienstleistungen an. Im Rahmen einer erstklassigen Mannschaft bieten wir ein vielfältiges, inspirierendes Arbeitsumfeld und hervorragende Entwicklungschancen. Work Life Balance genießt bei uns einen hohen Stellenwert. Und natürlich wissen wir, dass zu einem guten Job auch eine attraktive Bezahlung gehört.
Kontakt :
Sind Sie bereit, ab sofort in Voll- oder Teilzeit in einer starken Mannschaft zu starten? Dann freuen wir uns auf Ihre Online-Bewerbung. Für Rückfragen stehen Ihnen Dominik Schnieders per Email unter dominik.schnieders@commerzbank.com und Frank Schön per Email unter frank.schoen@commerzbank.com gerne zur Verfügung.
16/05/2018
Full time
Aufgabe :
Als Big Data Platform Engineer sind Sie verantwortlich für die Weiterentwicklung des Big Data & Advanced Analytics Lab und der Produktionsplattform. Dazu gehört der Aufbau und Support von Data Scientist Arbeitsumgebungen sowie das damit verbundene Release Management. Sie setzen die neuesten Technologien im Rahmen Ihres Verantwortungsbereichs um und sorgen dadurch für die Erweiterung der Einsatzmöglichkeiten unserer Produktionsplattform. Darüber hinaus leisten Sie bei Bedarf den 3rd Level Support.
Profil :
Abgeschlossenes Hochschulstudium mit Schwerpunkt Informatik oder gleichwertige Qualifikation
Mehrjährige Berufserfahrung im Bereich Datenanalyse/Datenwissenschaft/Advanced Analytics
Erfahrung mit den Prozessen der agilen Softwareentwicklung
Fundierte Kentnisse über Big Data Stacks (insbesondere Apache Hadoop und Hortonworks Data Platform)
Fundierte Kentnisse über Advanced Analytics Umgebungen (u. a. Python/ Scala/ R Programmierumgebungen und mathematisch wissenschaftliche Bibliotheken)
Fundierte Kentnisse über Data Scientist Umgebungen (u. a. Notebook Technologien und Security) Verarbeitung von Daten per Streaming (u.a. Kafka)
Gute Englisch- und Deutschkenntnisse in Wort und Schrift
Die Commerzbank
Die Commerzbank ist mit rund 50.000 Mitarbeitern eine führende, international agierende Geschäftsbank mit Standorten in knapp 50 Ländern. Mit den beiden Geschäftsbereichen Privat- und Unternehmerkunden sowie Firmenkunden bietet sie ein umfassendes Portfolio an Finanzdienstleistungen an. Im Rahmen einer erstklassigen Mannschaft bieten wir ein vielfältiges, inspirierendes Arbeitsumfeld und hervorragende Entwicklungschancen. Work Life Balance genießt bei uns einen hohen Stellenwert. Und natürlich wissen wir, dass zu einem guten Job auch eine attraktive Bezahlung gehört.
Kontakt :
Sind Sie bereit, ab sofort in Voll- oder Teilzeit in einer starken Mannschaft zu starten? Dann freuen wir uns auf Ihre Online-Bewerbung. Für Rückfragen stehen Ihnen Dominik Schnieders per Email unter dominik.schnieders@commerzbank.com und Frank Schön per Email unter frank.schoen@commerzbank.com gerne zur Verfügung.
HolidayCheck is the leading hotel evaluation and travel portal in the German-speaking region. With nearly 8 million reviews, a few million user photos and videos of more than 700,000 hotels, we offer holidaymakers extensive travel know-how.
We are a subsidiary of Holidaycheck Group AG. Together we have a vision to become the most user-friendly company for holidaymakers. At the heart of our corporate culture are our values , which we live by every day and which create an environment that allows for continuous development.
We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. As a Data Scientist directly reporting to the Head of Data Intelligence you’ll drive and foster data-driven products within the company.
Do you also support our values? Are you ready for the journey with HolidayCheck? Then join us in Bottighofen (Lake Constance) or Munich.
Your tasks:
You will closely interact with other data scientists and become a valuable part of our data intelligence team
You will turn data into models and insights that make a difference in becoming the most Urlauber- friendly company in the world
You will collaborate in cross-functional teams to create new products and bring data-driven improvements to our website and services
You will pro-actively evangelize the use of data and science across the company
Your profile:
You love crunching data in creative ways
You have a proven track record of successfully applying machine learning algorithms to real-world data – either (preferably) on the job or in other projects
You are an expert in Python and/or R, or you do have compelling reasons why you prefer another language to work with. And, of course, you can write SQL
You are able to boil down the essence of complex problem settings into creative, simple, and right approaches to solutions.
You are a friendly team player that enjoys collaborating with others. You are interested in pair programming, sharing knowledge, and learning from each other
You have good communication skills, including the ability to present your work in layman terms as well as comprehensively explaining the buzz and hype around AI.
Ideally, you have deep knowledge in deep learning and/or profound experience with either NLP or image recognition. Also, experience with machine learning services in cloud environments (Google and/or Amazon) can be a plus.
You perfectly fit to our values. But you never overfit your models
You are fluent in English. German is a big plus.
You don't mind traveling between Bottighofen (Lake Constance) and Munich occasionally
16/05/2018
Full time
HolidayCheck is the leading hotel evaluation and travel portal in the German-speaking region. With nearly 8 million reviews, a few million user photos and videos of more than 700,000 hotels, we offer holidaymakers extensive travel know-how.
We are a subsidiary of Holidaycheck Group AG. Together we have a vision to become the most user-friendly company for holidaymakers. At the heart of our corporate culture are our values , which we live by every day and which create an environment that allows for continuous development.
We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. As a Data Scientist directly reporting to the Head of Data Intelligence you’ll drive and foster data-driven products within the company.
Do you also support our values? Are you ready for the journey with HolidayCheck? Then join us in Bottighofen (Lake Constance) or Munich.
Your tasks:
You will closely interact with other data scientists and become a valuable part of our data intelligence team
You will turn data into models and insights that make a difference in becoming the most Urlauber- friendly company in the world
You will collaborate in cross-functional teams to create new products and bring data-driven improvements to our website and services
You will pro-actively evangelize the use of data and science across the company
Your profile:
You love crunching data in creative ways
You have a proven track record of successfully applying machine learning algorithms to real-world data – either (preferably) on the job or in other projects
You are an expert in Python and/or R, or you do have compelling reasons why you prefer another language to work with. And, of course, you can write SQL
You are able to boil down the essence of complex problem settings into creative, simple, and right approaches to solutions.
You are a friendly team player that enjoys collaborating with others. You are interested in pair programming, sharing knowledge, and learning from each other
You have good communication skills, including the ability to present your work in layman terms as well as comprehensively explaining the buzz and hype around AI.
Ideally, you have deep knowledge in deep learning and/or profound experience with either NLP or image recognition. Also, experience with machine learning services in cloud environments (Google and/or Amazon) can be a plus.
You perfectly fit to our values. But you never overfit your models
You are fluent in English. German is a big plus.
You don't mind traveling between Bottighofen (Lake Constance) and Munich occasionally
Enough about us! - What about YOU? Are you candidate with high cognitive capacity ready to proof your learning agility in a start-up focused on digitalization in the process industry? - Location: Mannheim, home-office, TBD
Tasks
Collaborate with different teams in cutting-edge projects having Big Data and IoT interfaces to ensure a streamlined and strategy-driven development and platform
Design scalable and reliable architectures for our IoT and Big Data Platform – especially regarding B2B-scenarios
Plan and deliver solutions for our platform by leveraging Azure Big Data & Analytics PaaS including but not limited to – Azure Data Factory, Azure Data Lake Analytics, Azure Storage, Azure Cosmos DB, Azure SQL and Power BI
Ensures data and information is delivered to clients and users in ways that meet requirements and drives business value
Participate in internal and client projects including steering of external resources
Requirements
Must have:
IT-Engineering in your DNA: Diploma, M.Sc. or B.Sc. degree in Computer Science, IT, Electrical Engineering or related fields
Develop IoT application with Big Data interfaces for integrating/connecting to/on top of cloud products
Be a positive-minded colleague with profound knowledge about IoT and/or Big Data concept and technologies (Azure preferred)
Passionate about incorporating your developer skills including new technologies like Python and R into work and team
Burning desire to work in a multi-national start-up shaping our future and designing mind-blowing solutions for our clients
What additionally excites us:
Group company ambition and strike...start-up entrepreneurial attitude
Proactive thinking and the flexibility to deal with different cultures and attitudes – are you ready for this?
Excellent communications skills (business and technical)
And not to forget: Good soccer-table skills to beat your colleagues in matches
Offer
Benefits – We go much further than delivering standard benefits: Flexible time management and location; free water, coffee, tea and fresh fruits; monthly office lunches; possibility to play soccer-table; regular team events; open air (team-)meetings in summer; steep learning curve due to large number of innovative projects, diverse tasks and experienced team members; possibility to revolutionize digital process industry.
Would you like to support us in this exciting endeavor in a challenging environment? Then convince us that you are the right person for the position. We look forward to receiving your detailed application documents, which you can easily upload to our application management system - within about 10 minutes. Please take advantage of the possibility to apply online.
This job opportunity is for all qualified applicants independent of age, sex, disability, religion, ideology, ethnicity or sexual identity.
Bilfinger Digital Next GmbH is an international operating start-up headquartered in Mannheim applying digital solutions to enhance the efficiency of plants and increase their availability and Performance. Our team consists of 30 skilled experts and will start operating on July 1st.Key Data
www.career.bilfinger.com
16/05/2018
Full time
Enough about us! - What about YOU? Are you candidate with high cognitive capacity ready to proof your learning agility in a start-up focused on digitalization in the process industry? - Location: Mannheim, home-office, TBD
Tasks
Collaborate with different teams in cutting-edge projects having Big Data and IoT interfaces to ensure a streamlined and strategy-driven development and platform
Design scalable and reliable architectures for our IoT and Big Data Platform – especially regarding B2B-scenarios
Plan and deliver solutions for our platform by leveraging Azure Big Data & Analytics PaaS including but not limited to – Azure Data Factory, Azure Data Lake Analytics, Azure Storage, Azure Cosmos DB, Azure SQL and Power BI
Ensures data and information is delivered to clients and users in ways that meet requirements and drives business value
Participate in internal and client projects including steering of external resources
Requirements
Must have:
IT-Engineering in your DNA: Diploma, M.Sc. or B.Sc. degree in Computer Science, IT, Electrical Engineering or related fields
Develop IoT application with Big Data interfaces for integrating/connecting to/on top of cloud products
Be a positive-minded colleague with profound knowledge about IoT and/or Big Data concept and technologies (Azure preferred)
Passionate about incorporating your developer skills including new technologies like Python and R into work and team
Burning desire to work in a multi-national start-up shaping our future and designing mind-blowing solutions for our clients
What additionally excites us:
Group company ambition and strike...start-up entrepreneurial attitude
Proactive thinking and the flexibility to deal with different cultures and attitudes – are you ready for this?
Excellent communications skills (business and technical)
And not to forget: Good soccer-table skills to beat your colleagues in matches
Offer
Benefits – We go much further than delivering standard benefits: Flexible time management and location; free water, coffee, tea and fresh fruits; monthly office lunches; possibility to play soccer-table; regular team events; open air (team-)meetings in summer; steep learning curve due to large number of innovative projects, diverse tasks and experienced team members; possibility to revolutionize digital process industry.
Would you like to support us in this exciting endeavor in a challenging environment? Then convince us that you are the right person for the position. We look forward to receiving your detailed application documents, which you can easily upload to our application management system - within about 10 minutes. Please take advantage of the possibility to apply online.
This job opportunity is for all qualified applicants independent of age, sex, disability, religion, ideology, ethnicity or sexual identity.
Bilfinger Digital Next GmbH is an international operating start-up headquartered in Mannheim applying digital solutions to enhance the efficiency of plants and increase their availability and Performance. Our team consists of 30 skilled experts and will start operating on July 1st.Key Data
www.career.bilfinger.com
