15 jobs found in Ulm

Ulm Full-time 01 This is what you can expect from us Data analysis & visualization: Analysis, processing and visualization of business and logistics data for data-driven decision-making (e.g. with Power BI, Python) Database management: Maintenance and further development of databases with a focus on data quality, availability and consistency. Application development: Conception and development of customized IT applications for the optimization and digitalization of logistics processes. Machine Learning: Conception, development and provision of ML models for solving logistical problems Artificial Intelligence: Development of intelligent AI applications – especially RAG-based knowledge systems and autonomous AI agents 02 this is us As a multi-award-winning family business, we have been successfully shaping the future of logistics for years. With over 3,500 employees at more than 45...

Last date to apply: We are continuously accepting applications A start-up for 300 years: We shape what's possible tomorrow. Our solutions make life outdoors smarter. And for that, we're looking for people who want the future, not routine. For some, it's just a garden. For us, it's a garden full of possibilities. With   GARDENA,   we make garden moments easier, smarter, and more sustainable – will you join us? Your tasks: You develop interactive dashboards, primarily using Power BI – for operational teams, management, and specific use cases. You will accompany analytics projects from requirements gathering and concept development to the coordination of technical implementation. Together with the team, you are responsible for the underlying technical architecture – including data modeling, API integration, and SQL queries. You work closely with specialist departments, understand their processes and develop high-performance solutions based on...

Tasks During your internship, you will contribute to developing a host-based monitoring mechanism for OT systems. You will support the maintenance of the Vulnerability Management System (eg automation, integrations, reporting, etc.). Furthermore, you will assist in the maintenance of the Automated Security Testing (CI/CD pipeline). Finally, you will either develop or assess security scanners to be deployed in CI/CD for OT systems. profile Education:   studies in the field of Computer Science, Software Engineering, Cybersecurity, Information Technology or comparable Experience and Knowledge:   in   Linux, Git, REST API, Python/Go; knowledge of programming and security topics Personality and Working Practice:   you excel at both driving your own tasks forward with initiative and contributing constructively to the team's shared goals Work Routine:   your on-site presence is required Enthusiasm:   for learning new technologies...

To strengthen our teams, we are looking for you to join us full-time in Hallbergmoos, Neu-Ulm or remotely as soon as possible as Application Engineer – Data Management (f/m/d) Your tasks: Independent execution of international projects with renowned clients in the field of our data management products for E-CAD system solutions. Installation of our software products, configuration according to customer requirements and error analysis Quality assurance through testing and documentation processes for software deliveries Competent advice for international clients regarding technical inquiries Conducting training for users and administrators Your qualifications: Completed studies in computer science, engineering or comparable qualification Good IT skills Knowledge of software configuration in the E-CAD environment Knowledge in the field of data management for E-CAD system solutions and their integration in the PDM/PLM environment Industry...

Financial Data Analyst The Opportunity   : As a Financial Data Analyst, you'll bring your technical, analytical, and operational support expertise to work alongside thought leaders in data analytics, digital engineering, and financial management on projects supporting operations across EUCOM and AFRICOM Areas of Responsibility. You'll use your skills and expertise to integrate, analyze, and improve financial data processes and systems that enable mission execution. Work with us to identify inefficiencies, improve fiscal data workflows, and deliver actionable insights that enhance decision-making, continuity, and operational effectiveness across complex defense financial systems. This position supports a mission-essential financial data environment and is structured to encompass two skill sets under one role. These include process and change management and program support—driving process improvement, supporting continuity, developing SOPs, and helping stabilize and...

Tasks This internship is the foundational first phase of an innovative project aimed at developing a machine learning-based "Load Profile Generator" for vehicle E/E powernet simulations. Your mission is to analyze our rich datasets of vehicle operational data and conduct the critical research needed to select the optimal ML architecture for this task. The results of your internship will directly inform and enable a subsequent Master's thesis project focused on model implementation and integration. During your internship you will dive deep into large time-series datasets from vehicle measurements to understand underlying patterns, distributions, and characteristics of vehicle power consumption. Furthermore you will develop as well as implement robust scripts and workflows for cleaning, transforming, and preparing the raw data into a structured format suitable for ML model training. You will identify and create meaningful features from the time-series data that...

Our values: Innovation, quality, performance, and enjoyment. Schreiner Group GmbH & Co. KG is an internationally active German family business and a preferred partner in the healthcare and mobility markets. Our core business is top-quality functional labels, enhanced by complementary system solutions and services. Schreiner Group's innovative high-tech labels and functional components enable smart solutions and help make life a little healthier, more mobile, and safer. Our best-known products include, among others, the particulate matter sticker, vehicle identification and warning labels, and documentation labels for vaccinations. With approximately 1,300 employees and annual sales of around €220 million, we are leading our international business profitably and robustly into a promising future. Numerous awards, such as   "Innovator of the Year   , "   "Bavaria's Best 50,"   and   "Successful.Family-Friendly,"   confirm our success. We are...

A2MAC1 GmbH is a leading benchmarking company in the automotive industry, driving innovation and providing exclusive insights into the technologies of tomorrow. With around 700 employees worldwide, we work every day to strengthen the long-term competitiveness of our clients. Join our team and help shape the future of mobility with us. We are looking for a motivated Working student (f/m/d) - Revenue Operations Data Analyst responsible for assisting Revenue Operations department (Sales, Marketing, Customer Success) in driving operational excellence. We would be happy to meet with you if you are interested in turning revenue data into high‑value, actionable business insights. You will be mainly responsible for KPI definition, reporting automation, advanced dashboarding, developing and improving cross system connections between marketing, sales and finance. Your Responsibilities Ensure consistent KPI definition (pipeline, forecast, ARR, bookings, win rates, conversion...

When it comes to   campus management,   we're second to none. Since 2002, we've been expanding our expertise in the   digitalization of university processes   and continuously developing ourselves and our software. Our success speaks for itself: More and more European universities are relying on our   academyFIVE   solution . And we have even bigger plans: With our campus management system, we not only want to become the   market leader   , but also   actively shape the future of education   . Every new university that joins our network brings with it a key task: data from previously used systems needs to be migrated. This can be complex, often sensitive – and that's exactly why we're looking for   you   ! As a Junior Data Analyst in the Migration department, you will support the structured and reliable transfer of data into our software, laying the foundation for successful projects. Join our team and a collaborative environment where we treat each other with...

Location   Munich, Germany   Job type   Part-Time   Work mode   Hybrid   Job level   Internship & Working Student   Job ID   6530-2097   Company   MEAG   Employment type   Temporary   Area of ​​expertise   Information Technology MEAG is part of the Munich Re Group and one of the world's leading asset management companies. We are looking for a working student in Sales Management & Marketing (m/f/d) to join our team as soon as possible at our   Munich   offices , where we will need your support, including   on-site   assistance . Shape the future with us: End-to-end development of sophisticated reporting and analytics use cases based on Databricks – from the initial business requirement to a production-ready, clean solution. In-depth analysis, transformation, and modeling of complex datasets using SQL and/or Python in a scalable environment Design, implementation and performance optimization of high-quality queries as well as precise...

This is the work environment: The DATEV field sales Data Analytics team supports colleagues – primarily in the field – with sales data related to   sales and analytics   . The goal is to strengthen strategy, requirements, communication, marketing and sales planning, as well as sales lead and action management, through in-depth target group and potential analyses. We provide a robust data network and expert advice to transform numbers into concrete decisions. Key tasks include, in particular: You will provide support in advising and in defining suitable criteria to achieve the analysis goals. You create analyses and prepare target group and customer segmentations. You analyze data and relationships and present them in an understandable way. You visualize results, for example in dashboards. You communicate the insights gained in a target-group-oriented manner to internal contacts. This is what we are looking for: You are currently enrolled in a...

Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide. Software engineers at Walaris are at the core of our company, tackling complex and mission-critical technical challenges with the latest technologies. They integrate real-time machine learning and image processing systems with advanced hardware and are constantly designing innovative software solutions. Working in cross-functional, international teams, our engineers consistently strive to exceed customer expectations. For our office in Nuremberg, we are looking for a...

As Manager Sustainability Data & Analytics (m/f/d) at KION ITS you will be part of an unbeatable team. Your future working day will be characterized by respect, variety and responsibility. Exciting challenges await you every day This role combines ESG reporting expertise, data architecture ownership, and systems leadership in a complex international industrial organization. As Manager Sustainability Data & Analytics you ensure that sustainability data is accurate, auditable, automated, and compliant with CSRD / ESRS and internal control (ICS) requirements, enabling high quality external reporting and management decision making. We offer: Linde Material Handling is a leading global manufacturer of industrial trucks and a provider of services and solutions for intralogistics. With a sales and service network in more than 100 countries, Linde is represented in all major regions of the world. More than around 13,000 people work on the future of intralogistics at Linde...

The city of Aschaffenburg is actively shaping digital transformation – and is looking for people who can translate complex topics into clear messages. For us, digital transformation means more than just new technologies: it creates the foundation for better decisions, modern services, and an administration that shapes the future together with the city's residents. To ensure that data is used responsibly and that digital projects work together strategically, we are currently establishing a city-wide data governance structure as part of our digital strategy. For this, we are looking for a person who wants to develop organizational structures, advance digitization projects (such as a city app) and at the same time contribute to ensuring that digitization is understood, supported and actively shaped in administration and urban society. Your role: Building governance. Managing transformation. Making digitalization visible. You will develop and implement organizational...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work at the intersection of compilers, hardware, and performance. Your work will help us build intelligent systems that understand complex program behavior and improve how software runs on modern processors. You will apply machine learning to structured program representations, compiler transformations, and real-world performance measurements. What you will be doing...