45 Data Analytics jobs

From Innovations to Solutions. Camelot Innovative Technologies Lab ist das führende SAP Beratungshaus für digitales Value Chain Management. Seit mehr als 20 Jahren begleiten wir unsere Kunden bei der digitalen Transformation. Unser Leistungsspektrum reicht vom strategischen Dialog im Hinblick auf aktuelle Herausforderungen in der digitalen Welt bis hin zur Implementierung innovativer Lösungen. (Senior) Developer Artificial Intelligence & Data Science for Supply Chains (w/m/d) Was können Sie bei uns bewegen? Sie entwickeln Konzepte, Strategien und führen Data Science Projekte als Berater(in) und Entwickler(in) im Supply Chain Kontext durch Die Konzeption und Entwicklung maschineller Lernverfahren (Python oder R), die in Geschäftsanwendungen integriert werden, zählt ebenfalls zu ihren Aufgaben Sie wirken aktiv bei der Entwicklung innovativer Themen und Anbindung von AI Services und Plattformen (SAP, Google, Azure) mit Je nach Erfahrung übernehmen Sie schnell Verantwortung in Form von (Teil-)Projektleitungsaufgaben Standorte:  Mannheim, Köln, München, Hamburg Was zeichnet Sie aus? Sie haben mehrjährige Erfahrung im Bereich Data Science im Umfeld von Supply Chain Management Idealerweise bringen Sie erste Berührungspunkte mit SAP mit Kenntnisse in den Programmiersprachen R oder Python im Bereich Data Analytics/Maschinelle Lernverfahren ergänzen Ihr Profil Die Entwicklung innovativer Themen reizt Sie Sie haben zudem Spaß an der engen Arbeit im Team sowie an Kundenkontakt und sind offen für Reisen Sichere Kommunikation auf Deutsch und Englisch ist für Sie selbstverständlich Ready to join? Heidrun Lehnert ist Ihr Kontakt bei Camelot:  +49 621 86298 805 Unsere Überzeugung: Innovation durch Kooperation – das ist unsere Mission. Dabei ist das Wissen unserer Mitarbeiter unser Schlüssel zum Erfolg. Aus diesem Grund schenken wir unseren Kollegen genauso viel Wertschätzung wie unseren Kunden. Gemeinsam entwickeln wir durch kontinuierliche Weiterbildung, Wachstum und Innovation, die Fähigkeit, unsere Visionen umzusetzen. Vom ersten Tag übernehmen unsere Kollegen Verantwortung. Unternehmergeist ist für uns genauso wichtig wie Teamwork, Wissenstransfer und soziale Verantwortung. Ihre Benefits Ein Einblick in Ihre Benefits Free Brainfood Personal Innovation Days Mentoring Corporate Events

Berufserfahrene und Einsteiger finden bei uns neben einem tollen Team aus mehr als 10.000 netten Kollegen und über 770 ver­schiedenen Stellen­profilen viele attrak­tive Heraus­forderungen, die sich einer modernen Ver­sicherung stellen: Verur­sacht das Auto der Zukunft weniger Unfälle?

Movinga is recognised as an innovator within the logistics industry, pioneering successful new digital business models, that puts the customer at the center of what we do. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Strategy & Insights team plays a pivotal role in driving the success of Movinga, helping to shape all areas of our business. This is a unique opportunity for someone passionate about solving problems to advance a career within data/analytics. Over the past 5 years, the team has established itself as an independent source of truth and strategic advice for the whole business. We are looking for a motivated and high-achieving Data Scientist to join our team, the individual will be responsible for helping to design, develop, and debug our current machine learning models. You will apply machine learning algorithms to develop new models as well as enhance existing one, taking solutions all the way from concept to production, truly driving business growth. The role is a Part-Time role. What attributes will you need: Demonstrable experience delivering and deploying a machine learning-based feature. Understanding of all the stages of developing machine learning-based systems: labeling data, selecting algorithms, training, model development, visualization, updates, debugging. Mastery of Python and at least one other programming language Experience of applying data science techniques within a commercial environment Ability to manipulate large volumes of data and extract insights A commercially minded individual - ability to understand the commercial imperatives behind the data needs Strong collaboration and communication skills - you’ll be just as comfortable talking to a data engineer as you would be to the CEO Experience working with or understanding marketing /Tech/ commercial/ finance teams A creative / lateral thinking problem solver- understanding when a hack will do and how to deliver 80% value ahead of a fully perfect solution Qualifications University degree attainment in Mathematics / Management / Business / Computer Science / Statistics / Economics / or similar numerate discipline 2+ years of experience in developing machine learning models, advanced analysis and statistics Fluent in English

You believe electric vehicles are the future? Programming is more than a job for you and you have realized projects you are proud of? We enable customers to precisely analyze the state of Lithium-Ion-Batteries and predict battery health and lifetime using digital twin technology. You are interested in helping us building the underlying architecture and platform? Then apply at TWAICE. We are a fast growing venture capital financed start-up of 25 employees – Become part of the family! Why TWAICE Competitive Salary Flexible Working-Hours Home Office Strong Team-Culture with regular Team-Events and Off-Sites Modern Office in Munich Parking Spaces Free Breakfast, Snacks and Coffee Subsidized Lunch in high quality Canteen (Vegetarian Options available) Help with the visa application Your Day to Day Design & Architect scalable data processing & analytics platform Implement high volume data processing algorithms in established cloud environment Productization of our analytics & machine learning algorithms / models Enable Data Scientists to perform exploratory data analysis Work in an agile software development team Keep our technical documentation up to date Potential personality development in leading teams Your Profile MS in computer science or the like 3+ years of professional experience in working with data pipelines Strong experience with stream & batch data processing platforms (e.g. Kafka, Spark, Hadoop, Flink) Experience with building high volume data pipelines & integration of machine learning models / analytic algorithms Comfortable in using common analytics tools (e.g. Tableau, AWS Athena, ...) In-depth knowledge of at least one commonly used programming language (Python, R, ...) Excellent communication skills and ability to present results using e.g. Jupyter Notebooks Does your profile not fit 100%? No worries we are happy to check every application even if its not a perfect fit!

At Quarters, our mission is to change the way we live and share our lives. Founded in Berlin in 2012 to respond to the demand for fully-furnished, ready to move into apartments, we are already the world's largest Co-Living provider. In addition to this, we are also enhancing our real-life community and physical buildings with a digital community focused app. Our diverse team forms the heart of our fast-paced start-up environment, where smart ideas and a hands-on attitude are encouraged. To help keep up with our increasing growth, we're looking for the most passionate people in their fields. We want you to have an immediate impact, take responsibility from day one, and help grow the global community of passionate people with us. Jump on board, join our team, and become part of the Co-Living revolution! Your key responsibilities ------------------------- Ability to create and maintain ETL routines (between source systems and target BI environment) Understand and query disparate database sources, including relational structures, dimensional data models and cubes. Design, build and deploy BI solutions (eg. Data pipelines, BI reports). Help maintain code quality, organization, and automatization. Identify bottlenecks and bugs, and devise solutions to these problems. Test and configure BI reports and visualizations for development, testing and deployment. Ensure the best possible performance, quality, and responsiveness of applications. Work collaboratively in a small, cross-functional team. Interface with and understand analytical reporting needs of business stakeholders. Create report mock-ups and templates from business requirements Develop and maintain reports, dashboards, and scorecards using Tableau. Ability to effectively communicate (written and verbal) technical subject matter to non-technical business stakeholders. You will be most successful if you fit this profile --------------------------------------------------- Bachelor's Degree in Computer Science, Information Systems, or similar; related experience in lieu of education. Ability to create database schemas that represent and support business processes. 2+ years of experience in data warehouse design (e.g. dimensional modeling) and data mining and data pipelines. 3+ years of experience with at least one major BI tool such as Tableau (preferred), Looker or Power BI. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework. proficiency in Python and proven ability to write SQL queries. Familiarity with continuous integration. Intermediate understanding of fundamental design principles behind a scalable application. Knowledge of ETL best practices and dimensional modeling. Prior experience documenting BI requirements and developing reports based on user requirements. What we offer you: ------------------ A flat hierarchy: open communication, and fireside chats with the CEO Healthy work-life balance: positive working environment, home office options, a discounted membership to UrbanSportsClub, and complimentary access to the 7Minds meditation app Personal development: language courses, a generous individual development budget, an exciting steep learning curve & boost for your career Culture: summer & holiday parties, biweekly team drinks, biweekly Lunch & Learn, coffee, fruit, and much more Sound like your perfect next adventure? Apply online, and we'll get back to you as soon as possible. We are looking forward to it! Want to get to know us even more? Check out our QUARTERS building in Chicago ( https://www.youtube.com/watch?v=WQeYlW7Fsio ) or read about our latest news for Europe ( https://www.bloomberg.com/news/articles/2018-12-12/co-living-firm-wins-1-1-billion-investment-for-europe-expansion ) and the US ( https://www.reuters.com/article/us-usa-property-mediciliving-investment-idUSKCN1P9306 ).

Founded in 2013 and headquartered in Berlin, Dalia harnesses the app economy and advanced data science to distribute millions of micro-surveys worldwide. we use this real-time data to gather and analyze consumer attitudes, public opinion and market trends. Backed by some of Europe's leading venture capital firms, Dalia has generated over a billion answers from people spread across +100 countries - with the resulting data cited in over 2,000 news articles globally. We are looking for a Data Analyst to lead the data generation and delivery process for Dalia's research projects with global corporations and civil society organizations. The journey that awaits you: As a Data Analyst for Process and Automation, you will work cross-functionally supporting the data science, research and project management teams in turning raw data into insights that drive strategic business and product development decisions. Fun monthly team events (like ziplining, escape rooms, cooking with refugees, spartan race, and more! ) and the good company of an eclectic, international team. Grow your hard skills in data science, as part of a team that offers teaching & mentoring in multiple programming languages and software kits Be the guardian of quality and clean data for global research projects in more than 100 countries that explore public opinion of billions of people, and turn the information into insights that generate headlines in 1.000+ news outlets The opportunity to not only develop your programming skills but to grow as a person. At Dalia, you have a yearly education fund to spend on self-development such as learning German, going to conferences, or on personal coaching. Your challenge: Collaborate with the research, project management and data science teams to plan, monitor and tackle all aspects of the data generation and delivery process for Dalia's research projects with clients. Take ownership and proactively identify opportunities to automate steps in the data generation and delivery process. Get your hands dirty with data: transform, clean, and convert raw datasets into public opinion insights for client projects. Your profile includes: Data wrangling: experience in data extraction, transformation, and analysis using any statistical software package e.g Excel, SPSS, Python or R. Experience in working with relational databases such as MySQL. NoSQL databases such as MongoDB are a plus. Proven experience in working in a fast-paced project environment with tight deadlines Strong communicator: you are able to communicate effectively and can adapt your communication style when working cross-functionally. Focused on optimizing processes; always looking for ways to make our methodology more agile. Dalia Research is committed to providing a respectful, safe, and welcoming environment for everyone who works here or with us, regardless of their gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, or religion (or lack thereof).

At Veeva, we build enterprise cloud technology that powers the biggest names in the pharmaceutical, biotech, consumer goods, chemical & cosmetics industries. Our customers make vaccines, life-saving medicines, and life-enhancing products that make a difference in everyday lives. Our technology has transformed these industries; enabling them to get critical products and services to market faster. Our core values, Do the Right Thing, Customer Success, Employee Success, and Speed, guide us as we make our customers more efficient and effective in everything they do. The Role As a senior data scientist, you will be responsible for designing best in class processes and techniques for statistical analysis and improving our Big Data capabilities.Also, you should develop creative ideas on how to detect trends and patterns and apply machine learning to implement them.Implementing and deploying new mechanisms and tools to increase performance and efficiency of our data analytics platform is also part of this job. What You'll Do Work as part of our big data processing team to bring our platform to the next level Enhance our data analytics platform to extract relevant business information Develop, train and implement machine learning models Develop new analytical scores in collaboration with other teams Deliver statistical models for determining impact of various entities in the health care industry. Create reports for senior management Requirements Eligible to work in Germany and willing to re-locate to Frankfurt am Main 5+ years of experience as data scientist Skills in scripting languages like Python or R Experience with various DBMS, relational and document based Experience with business intelligence tools like Tableau Experience with machine learning frameworks Fluent in English Nice to Have Previously worked in agile environments Experience working with cloud based software and infrastructure Experience working with big data and technologies like Hadoop, Oozie, Hive, etc. Experience with rule based expert systems Experience with web scraping Java development skills Perks & Benefits Veeva supports a healthy lifestyle for employees Health / Fitness reimbursement Supplemental contribution of up to 300€ per month for health and life insurance Veeva covers personal development of free choice Veeva Tuesday – a weekly team lunch Healthy snacks and fruits, water and the best coffee / espresso in Frankfurt Veeva cares about the community and team spirit Veeva Giving – Charity support of your choice Monthly social events organized by our teams Extra paid days off for new parents Modern open space office in Frankfurt close to the ECB Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

You... are looking for a motivating atmosphere in a fast-growing start-up company are interested in IoT time series data, SaaS and data analysis in a young interdisciplinary team are keen to work in a data-driven company where data science is our core product you are interested in big machines You should bring... at least three years experience of building data science models for production experience with machine learning, time series and deep learning algorithms for machine sensor data proficiency in Python and typical data science libraries full stack data science skills, from data processing to model-building and model deployment experience in professional software development a graduate degree in a quantitative field a keen desire to learn, a self-starter attitude and the ability to thrive in an interdisciplinary and diverse environment Advantages (but not required) would be... data pipeline expertise - database concepts, container technology (Docker), cloud computing experience in microservice architecture, agile methods, DevOps tools (GitLab) We want you to feel comfortable... attractive working atmosphere with all-round service free choice of working environment (Linux, Windows or Mac) individual training, conferences, coding sessions flexible working hours cool cutting-edge projects with leading international industry partners industry oriented salary A unique opportunity is waiting for you... We are building the next generation of data analysis for mining machinery. Whether above or below ground: our products analyze and control the largest machines in the world. Develop the future of mining together with engineers, data scientists and IT specialists. Next steps... Please send us your CV, cover letter and, if available, your portfolio. We are looking forward to your application

The Company: Our client are Global Leaders in online food ordering. They are looking for a Business Intelligence Analyst who is enthusiastic, talented and passionate to join their team. They offer a challenging and dynamic working environment where you can grow and develop your career with the right support. You will be working in a modern office in the heart of Berlin, with flexible working hours in a mulitcutural work space. Your Responsibilities: Develop accessible, creative and engaging data visualization to facilitate access to insight Create new data analyses based detailed specifications from stakeholders Engaging with key stakeholders and give actionable insights Analyse trends in data and provide insights and explanations to local teams Identify and define future insight to data that needs support to different business units Work with other data analysts, data engineers and product owners Experience Required: 2 years’ experience minimum Experience with SQL Experience with version control systems (e.g Github) Experience with big data tools (e.g Redshift or BigQuery) Tableau experience is a plus Email   graham@alldus.com   for more details

POSITION We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Key objective will be to improve and extend the features used by our users and develop automated internal A/B testing procedures. WHAT IS WAITING FOR YOU? Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Extending company´s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance WHAT ARE WE LOOKING FOR? Excellent understanding of machine learning techniques and algorithms, such as Artificial Neural Networks, SVM, Random Forests, etc. Experience with common data science toolkits, such as Python, sklearn, PyTorch, Tensorflow/Keras, etc. Great communication skills Experience with data visualization tools, such as D3.js, Plotly, matplotlib, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills, e.g. Python, Java / JavaScript About us LeanIX aspires to become the number one SaaS solution to modernize IT architectures. And we are on a good way. Hundreds of well-known brands such as adidas, Zalando, and Vodafone make better decisions in IT with LeanIX. But LeanIX is not just the product, it is also a great place to work. Colleagues from dozens of countries jointly make our vision reality. Yes, we have to work hard to achieve our ambitious goals. But we have everything to do so. We have invested a lot in a working environment that allows everyone to thrive. We believe in open access to leadership, transparent communication, personal development, a modern airy working environment, and that world-class teams deserve the best software stack money can buy

YOUR TEAM This position is located in our office in Mülheim-Kärlich. In our international team you are working with people of different professions. Such as your superior - the Vice President, Head of Digital TOMRA Sorting, a Service Delivery Owner, a Technology Owner, a UI/UX Owner, a Software Developer Connectivity, a Frontend Developer, and a Backend Developer. You as the Data Scientist will complete the TOMRA Sorting Digital Core Team. Your team is located around the globe and in different time zones – from New Zealand, Belgium via Germany to California, USA. YOUR TASKS Guiding the data science team covering the operational data analytics based on domain knowhow, supporting troubleshooting and validating correlations, and supporting the R&D team with a focus on data science and development of algorithms Generating new valuable insights based on the collected data in motion and at rest, as well as unstructured external data sources across all TOMRA Sorting Business Streams Establishing and managing the “TOMRA Space Center”, monitoring and running all data analytics services of TOMRA Insight Becoming an active thought leader and internal advisor for data science in the respective industries in which TOMRA is active (Food, Recycling, Mining) Working closely with universities, manage co-operations, and ensure state-of-the-art knowledge in data science to be transferred to TOMRA Sorting Representing TOMRA Sorting at scientific events in the area of data science and analytics to support the thought leadership claim and attract new talents YOUR PROFILE Master’s Degree or higher preferably in computer science, natural science, or engineering with a focus on data analytics & science – alternatively 5 years of work experience in a similar role English language (fluent), German language (nice to have, willing to learn) Experience with relevant software and distributed environments, e.g. R, Python, RapidMinder, Knime, Alteryx, Node-Red, Matlab, PowerBI, ANSYS, Stream Analytics, MS Azure, DataBricks, etc. Willing to travel ca. 25% Do you want to find out more about   TOMRA RECYCLING ? Have a look at our YouTube Channel: https://www.youtube.com/watch?v=BLmM_eG1GTc Do you want to peak behind office doors and meet our colleagues? Have a look at our Instagram Account "tomrarecyclingpeople": https://www.instagram.com/tomrarecyclingpeople/ Did we raise your interest? If so, please submit here:   https://short.sg/a/6082457   a motivation letter (indicating salary wish), a CV and certificates from education & trainings

AbbVie Analytical Research & Development (Analytical R&D) ist eine globale Organisation der analytischen Wissen­schaften, die für alle analytischen Aktivitäten im Zusammenhang mit der Entwicklung der pharmazeutischen Produkte von AbbVie verantwortlich ist.

Join us and let us work together to create AI-assisted process optimization and support our team beginning immediately (unrestricted full/ part time) and with full commitment as a   Data Scientist for Process Intelligence   in Dresden. You will be familiar with functional programming and Streaming Technologies, and your task will be both to implement data analysis pipelines in our Detact applications and to engineer self-learning models and software. Our globally active customers’ exciting high-end industrial processes await you, along with an international, 20-person team of developers, mathematicians, and engineers. We strongly believe that we can make production processes more intelligent and efficient through automated data analyses. Consequently, we are breaking new ground today in close cooperation with our customers and partners. Your new challenge: Implementation of data analysis pipelines using functional programming and streaming technologies and its implementation in web-based applications by Detact Development of intelligent models and software for real-time analysis, prediction and recommanded action / self-regulation of production processes Occasional presentations of results and procedures to external and internal stakeholders Dealing with customer-specific production processes and their logical connections. Exchange with technical experts and system suppliers What you will need: Solid programming skills in Scala or a strong Java background with an interest in learning Scala Frameworks like Akka, Akka Http, Akka Stream or libraries like Alpaca are well known to you Affinity for functional programming and algorithmics Ability to express mathematical and algorithmic ideas in scripting languages like R or Python Quality awareness and careful work distinguish you Communication competence and the desire to put yourself in the conditions of complex production processes Your career prospects: Creative freedom to develop independent solutions that make our applications even more intelligent and powerful Genetic Algorithms, Combinatorial Optimization, Swarm Intelligence, Deep Learning, Anomaly Detection, Dimension Reduction, Mathematical Statistics and Explainable Artificial Intelligence (XAI) Wide range of training opportunities in the cutting-edge technologies Cooperation with well-known, leading and globally active companies Excellent working atmosphere in a growing and international team with great colleagues at an extraordinary creative location, the Kraftwerk Mitte Dresden Above-average remuneration and profit sharing High flexibility at the workplace with the option of a home office Opportunity for phd through our close cooperation with the TU Dresden KI Coding Challenges, Kaggle Challenges, openAI gym Our tools and technologies: Scala / Java / Java EE / Javascript / HTML / Kafka / Spark / Akka / Alpakka / Cassandra / Kafka / Maven / SBT / Docker / Git / Kubermetes Angular / GitHub / JSon / YML / HOCON / Keycloak Python / R / Shiny / Jupyter Notebooks Confluence / Jira / Scrum / Design Thinking Linux / Windows / IOS / Android Convinced? Then please send us your meaningful documents to karriere@symate.de. We will be happy to answer any questions regarding the call for proposals by phone +49 351 8999-4680.

Join our team As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. Our passion for continually searching for ways to improve that experience is second to none and we’re looking for people to join us who thrive on that challenge. Job Purpose (Job Summary) : Invesco Quantitative Strategies (IQS) today manages around 33bn USD of equity and multi-asset strategies including liquid alternatives, low volatility, enhanced indexation and balanced solutions. The team is based in Boston, Frankfurt, Melbourne, New York and Tokyo. The global Research Team comprises ~20 research analysts who are dedicated to maintaining and enhancing the quantitative models that drive our investment process. In these efforts, IQS is constantly bridging theory and practice, keeping strong ties with the academic community. In addition to our work in research and development of the forecast models, we also design and build the technical platform to manage the portfolios of our clients. IQS employ state of the art analytical methods and financial models including Deep (Machine) Learning/Artificial Intelligence algorithms to continuously improve our forecasts. The successful candidate will be an integral part of our global Research Team: • Work on innovative research projects, targeted at the enhancement and evolution of our proprietary multi-factor return, risk and transaction cost models • Research areas include factor research, optimization, portfolio construction and trading • Development of new investment products • Investigate new data sources including alternative data for augmenting investment strategies and products. Work Experience / Knowledge : Excellent working knowledge of econometrics and statistics including time-series analysis Experience with financial databases such as Compustat, Worldscope, IBES, IDC, Axioma, etc. Highly proficient in quantitative security analysis and accounting concepts Strong programming skills in high-level languages, R preferable. Strong analytical and mathematical skills Skills / Other Personal Attributes Required : Have a passion for quantitative investment management Ability to work independently and collaboratively within the broader research team Strong demonstrated written and verbal communication skills Be self-motivated and hard working Formal Education :   (minimum requirement to perform job duties) The successful candidate will hold Advanced degree in a quantitative field with demonstrated academic excellence including high GPAs and standardized test scores 5-10 years’ work experience in quantitative research within the Financial Services Industry, preferably investment management Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone. As part of Invesco’s commitment to ensuring our teams have the broad range of experiences and backgrounds required to promote diversity of thought, and to maintaining a positive, engaging work environment, we champion smart working. Working remotely from home or any other work location for 1 or 2 days per week Working some flexible hours - flexing your start/finish time to help you fit everything in and work when you are the most productive Please feel free to discuss flexible working options with us. The Good Stuff We have an outstanding benefits package, which includes: Competitive salary and bonus Company-provided healthcare 26 days’ annual leave + bank holidays Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Our Commitment to the Community, the Environment and Responsible Investing We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about and are offered two days’ volunteering leave annually. We are committed to adopting and implementing responsible investment principles and practices that uphold our fiduciary responsibility to our clients, as well as being good stewards of the environment. Invesco is committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience. Join Us Our people are our greatest asset and we take pride in supporting our colleagues both personally and professionally. We foster an environment where all our people feel valued and can be themselves. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, we invite you to explore your potential with us. People with disabilities who need a reasonable accommodation to apply for employment with Invesco may request this by sending an e-mail to EMEA- Talent Acquisition. Please include your name, the job you are interested in, and the type of accommodation you are requesting. Recruitment Agencies: Invesco has an in-house recruitment team, which focuses on sourcing great candidates directly. Therefore, Invesco will not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact hiring managers directly.

FUJITSU – hier steht der Mensch im Mittelpunkt! Ob Hardware oder Cloud Solutions, SAP Services/Consulting oder IoT und Artificial Intelligence Lösungen - Als globaler Konzern bietet Fujitsu das gesamte Spektrum an IT-Services und Produkten aus einer Hand an. Unser Ziel ist es, unsere Kunden pragmatisch im Tagesgeschäft zu unterstützen und sie gleichzeitig für die digitale Transformation zu rüsten. Wir suchen zum nächstmöglichen Zeitpunkt   deutschlandweit   einen: Information Security Manager mit Zusatzaufgabe Vulnerability Management (w/m/d) Legal Entity: Fujitsu TDS GmbH Diese Aufgaben erwarten Sie: Der Mitarbeiter ist selbständig agierender, zentraler Ansprechpartner für mittelgroße und große Kunden zum Aufbau einer Beziehung mit dem zuständigen Informationssicherheits- Ansprechpartner des Kunden. Sein Verantwortungsbereich umfasst dabei: Umsetzung von Aufgaben des IT-Sicherheitsbeauftragten eines Dienstleisters, d.h. Verantwortung für projektspezifische Sicherheitskonzept-Entwicklungen, Risiko- und Schutzbedarfsbetrachtungen, Ausarbeitung von Maßnahmenkatalogen, Toolbewertungen und Umsetzungsplanungen Vorbereitung und Mitwirkung an Audits und Sicherheits-Checks Definition, Erstellung und Prüfung von Reports zur IT-Sicherheit Vertretung der Interessen und Anliegen des Kunden nach innen, um Kundenerwartungen und Ser-viceleistungen im Kontext Informationssicherheit aufeinander abzustimmen Verantwortung für die Leistungserbringung im Rahmen komplexer SLA’s im Kontext Informationssicherheit Mitarbeit in Teams aus allen Serviceerbringungsressourcen und externen Partnern von Fujitsu im laufenden operativen Geschäft zur Koordination der eigenen Fachthemen im Kontext Informationssicherheit Erkennen jeglicher Abweichungen von SLA‘s und Einleitung geeigneter Maßnahmen im Kontext Informationssicherheit Verantwortung für Verbesserungspläne im Kontext Informationssicherheit, deren regelmäßige Überprüfung und Weiterentwicklung Erkennen und Bewerten von Servicerisiken, Vertragsrisiken und kritischen Eskalationen im Kontext Informationssicherheit Zusammentragen relevanter Berichte und Eskalation von anhaltenden Mängeln im Kontext Informationssicherheit Proaktive Untersuchung von Trends und häufigen Problemen Etablierung und Einhaltung sowie Optimierung der internen Prozesse des Service Providers ein-schließlich der IT Governance Prozesse im Kontext Informationssicherheit Mitwirkung an der fortwährenden Verbesserung der Serviceerbringungsstandards im Kontext Informationssicherheit Als Zusatzaufgabe übernimmt der Mitarbeiter Aufgaben im Schwachstellen Management bezogen auf Kundeninfrastrukturen. Der Mitarbeiter agiert in diesem Kontext als verantwortlicher Consultant in allen Belangen des Schwachstellen Managements. In dieser Position arbeitet er mit dem im Projekt tätigen Information Security Manager der Fujitsu sowie den Betriebsteams eng zusammen.Sein Verantwortungsbereich umfasst dabei: Initiale Erfassung der Assets und deren regelmäßige Pflege im Vulnerability Management Tool Erstellung von Watchlisten und deren Pflege Prüfung der eingehenden Meldungen auf Relevanz in Zusammenarbeit mit den Betriebsteams Pflege der Tickets im Vulnerability Management Tool Erstellung und Bereitstellung der Reports im vereinbarten Schedule Unterstützung bei Rückfragen seitens Kunde, Information Security Manager und Betriebsorganisation Folgende Qualifikationen sollten Sie mitbringen: Rolle Information Security Manager: Nachweisliche Ausbildung im Bereich ISO27001 und / oder BSI IT-Grundschutz in den aktuellen Versionen, einschlägige Zertifizierungen erwünscht Nachweisliche Ausbildung im Bereich Prozessmanagement (ITIL, mindestens Foundation) erwünscht Ausgeprägte und belastbare Kenntnisse der aktuellen Standards, Prozesse, Methoden und Regularien in o.g. Umfeld mehrjährige praktische Erfahrung in der Entwicklung und Umsetzung von IT- und Informationssicherheitsprojekten Sehr gute Kenntnisse im Bereich IT-Sicherheitsprodukte und -Verfahren Rolle Vulnerability Management: mehrjährige praktische Erfahrung in IT- und Informationssicherheitsprojekten, hier insbesondere im Bereich Management von Hard- und Software Schwachstellen, Patch- und Release Management, Umsetzungsprüfung und Reporting im Kontext Vulnerability Management Sehr gute Kenntnisse im Bereich IT-Sicherheitsprodukte und -Verfahren in Bezug auf Schwachstellen Management (z.B. Vulnerability Scanner, Vulnerability Management Datenbanken) Kenntnisse in Scripting-Sprachen (Python, PSH …) von Vorteil und erwünscht Rolle-unabhängige Qualifikationen: Die Arbeitsaufgabe erfordert Kenntnisse und Fertigkeiten, wie sie in der Regel durch ein abgeschlossenes, einschlägiges Studium mit einer Regelstudiendauer von bis zu vier Jahren (mind. Bachelor oder vergleichbar) sowie einer einschlägigen fachspezifischen Zusatzqualifikation (in Bezug auf Datenschutz z.B. Rechtswissenschaften) oder durch eine abgeschlossene, mindestens dreijährige abgeschlossene Berufsausbildung im IT - Bereich und hochschuläquivalente, besonders umfangreiche fachspezifische Zusatzqualifikation erworben werden. Ausgeprägte analytische Fähigkeiten Unternehmerisches und analytisches Denken Interkulturelle Kompetenzen und Erfahrung in der Mitarbeit in internationalen, virtuellen Teams sehr gute Kommunikationsfähigkeiten und Verhandlungssicherheit Fließendes Deutsch ist Grundvoraussetzung, verhandlungssichere Englischkenntnisse in Wort und Schrift im Fachgebiet unverzichtbar Bereitschaft zu längerfristiger Auswärtstätigkeit Warum Fujitsu? Dank hoher Eigenverantwortung und Flexibilität haben Sie die Möglichkeit wirklich etwas zu bewirken Durch flexible Arbeitszeiten & -orte bieten wir bei Fujitsu eine gute Vereinbarkeit von Familie, Freizeit und Beruf Gemeinschaft und Wertschätzung des Einzelnen sowie Firmenfeiern & Teamevents Die Fort- und Weiterbildung unserer Mitarbeiter wird bei Fujitsu großgeschrieben – auf nationaler und internationaler Ebene bieten wir ein breites Spektrum an Entwicklungsmöglichkeiten in Führungs- oder Expertenlaufbahnen 30 Tage Urlaub & Sonderurlaub Die Gesundheit unserer Mitarbeiter ist uns wichtig – Fujitsu bietet verschiedenste Gesundheitsprogramme an Verschiedenste Vergünstigungen und Mitarbeiterrabatte Interessiert? Wir freuen uns auf Ihre Bewerbung unter Angabe des frühestmöglichen Eintrittstermins und Ihren Gehaltsvorstellungen. Wollen Sie mehr über uns erfahren? Dann folgen Sie uns auf unseren Social Media Kanälen.