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About the Role
As a Data Scientist (w/m/d) in the defense sector, you will develop data-driven and AI-powered solutions for the German Armed Forces, government agencies, and the defense industry. You will guide the entire solution lifecycle from conception to productive implementation in security-critical environments.
Responsibilities
- Advise clients from the German Armed Forces, government agencies, and the defense industry on the development of future-oriented data and AI solutions.
- Analyze, define, and evaluate requirements for AI use cases in close collaboration with relevant stakeholders.
- Support the further development of modern defense-related capabilities.
- Analyze large and complex datasets to gain insights for intelligent, networked, and security-critical systems.
- Derive well-founded decision-making bases from data analysis.
- Conceive, develop, and implement modern data science, machine learning, and AI solutions (e.g., Computer Vision, Natural Language Processing, Geodata Analysis) for complex defense platforms.
- Design scalable architectures and end-to-end data pipelines.
- Make sound architectural decisions.
- Ensure high standards for data governance, data quality, integrity, and information security in security-critical environments.
- Continuously develop professional and methodological competencies.
- Introduce innovative approaches in data science and artificial intelligence.
- Communicate complex issues appropriately to the target audience.
- Support knowledge exchange within and outside the company.
Requirements
- Successfully completed studies in Physics, Data Science, Mathematics, Computer Science, or a comparable field. A doctorate is welcome.
- Relevant experience in processing large, heterogeneous datasets.
- Experience in the architecture and development of data-driven solutions for mission- and decision-critical use cases, ideally in the defense or security-critical environment.
- Proficiency in defense and security-critical environments with high demands on information security, traceability, compliance, and governance.
- Ability to derive technological decisions for scalable and modular architectures.
- Sound knowledge in Data Science and Artificial Intelligence, particularly in statistics, probability theory, linear algebra, and mathematical modeling.
- Experience in preparing, feature extraction, and analyzing structured and unstructured data.
- Experience in evaluating data quality, bias, and robustness.
- Practical experience in the conception, training, evaluation, and application of models, especially in areas like Computer Vision, Natural Language Processing, and ideally Geodata Analysis.
- Proficiency in relevant technologies and frameworks such as Python, Spark, SQL, TensorFlow or PyTorch, OpenCV, GIS systems, and Kubernetes (On-Premises and Cloud environments like StackIT, AWS, Azure, or GCP).
- Experience in consulting or comparable customer-facing roles.
- Ability to communicate complex issues clearly and appropriately to subject matter experts and decision-makers.
- Willingness to work closely with clients.
- Very good German and English language skills.
Skills
- Data Science
- Machine Learning
- Artificial Intelligence
- Computer Vision
- Natural Language Processing
- Geodata Analysis
- Statistics
- Probability Theory
- Linear Algebra
- Mathematical Modeling
- Data Preparation
- Feature Extraction
- Data Analysis
- Data Quality Evaluation
- Bias Evaluation
- Robustness Evaluation
- Model Conception
- Model Training
- Model Evaluation
- Model Application
- Python
- Spark
- SQL
- TensorFlow
- PyTorch
- OpenCV
- GIS Systems
- Kubernetes
- StackIT
- AWS
- Azure
- GCP
- Consulting
- Customer Interaction
- Communication
Location
- Germany
Work Type
- Full-time
- Part-time
- Hybrid
Education Level
- Degree in Physics, Data Science, Mathematics, Computer Science, or comparable field
- Doctorate welcome
Benefits
- Flexible working time and time-off models
- Mobile working – including hybrid from home
- Company bicycle program
- Mobility budget
- Diverse further training opportunities
- International network
- Cooperation with pme Familienservice
- Deferred compensation
- Extended sick pay
- Health offers
- Attractive workplace for people with disabilities
- Contact program fareWelcome!
- Work-life balance
- Employee discounts
- Team and sports events
About the Company
- Capgemini is a global partner for AI-driven business and technology transformation.
- The company creates measurable value for its clients by shaping the future of organizations and making it a reality through the interplay of AI, technology, and people.
- For almost 60 years, Capgemini has stood for responsibility and diversity, employing over 420,000 people in more than 50 countries.
- The end-to-end service spectrum is based on extensive industry expertise, a strong partner ecosystem, and competencies in strategy, technology, design, engineering, and operations.
- The group achieved a worldwide turnover of 22.5 billion euros in 2025.
Equal Opportunity
- Capgemini lives diversity in the workplace. Diversity inspires and drives innovation in our company.
- We particularly welcome applications from qualified talents, regardless of origin, nationality, gender, skin color, ethnic and social origin, religion, age, disability, sexual orientation, and life phase.