Salary: 60.000 - 90.000 € per year Requirements: Degree in (business) informatics, data science, mathematics, statistics, or comparable education Enthusiasm for data science, AI, and innovative technologies Experience with Python, R, SQL, or comparable tools - nice to have: ML frameworks such as TensorFlow, PyTorch, or scikit-learn Bonus: Interest in cloud environments (e.g., AWS, Azure, GCP), MLOps, or container technologies (Docker, Kubernetes) Confident communication: You are fluent in German (at least C1 level) and can clearly convey complex ideas Structured, results-oriented approach to work - both in a team and independently Creative drive rather than a work-through mentality - you contribute ideas and convince others of your approach For you, quality is a fixed requirement, not just an option Variety and dynamism motivate you rather than hinder you Curiosity, a willingness to learn, and the desire to try new things are crucial. Responsibilities: Development, training, and optimization of AI models - from the first prototypes to stable, productive solutions Analysis and preparation of complex data sources in order to derive understandable and actionable recommendations for specialist departments and management Designing new AI products and use cases - from the idea to the proof of concept to the rollout Working closely with specialist departments to identify potential for AI and develop practical solutions Experimenting with modern technologies (e.g., agentic AI, deep learning, or LLMs) and integrating them into our projects Participating in the development and operation of a future-proof data and analysis platform that serves as the basis for sustainable AI and data science initiatives. Technologies: AI AWS Azure Cloud Docker GCP Kubernetes Mobile PyTorch Python SQL TensorFlow Support More: At SBK (Siemens-Betriebskrankenkasse), located in Munich, we believe in a trusting dialogue with our customers and appreciate cooperation among our nearly 2,000 employees. We offer an environment where you can actively shape healthcare and achieve personal goals. Our benefits include attractive terms, mobile working flexibility, a strong focus on lifelong learning, top health management, initiatives for climate neutrality by 2030, and extensive social benefits. Join us in shaping the future! last updated 5 week of 2026