Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI models, analyze complex data sources, and design new products while collaborating closely with departments to create practical solutions.
Job Technologies
Your role in the team
- Development, training, and optimization of AI models - from initial prototypes to stable, production-ready solutions.
- Analysis and preparation of complex data sources to derive understandable and actionable recommendations for departments and management.
- Design of new AI products and use cases - from idea through proof-of-concept to rollout.
- Close collaboration with specialist departments to identify potentials for AI and develop practical solutions.
- Experimenting with modern technologies (e.g., Agentic AI, Deep Learning, or LLMs) and their integration into our projects.
- Contribution to the development and operation of a future-proof data and analytics platform that serves as the foundation for sustainable AI and Data Science initiatives.
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Our expectations of you
Education
- Completed degree in (Business) Informatics, Data Science, Mathematics, Statistics, or a comparable qualification.
Qualifications
- Enthusiasm for Data Science, AI, and innovative technologies.
- Bonus: Interest in cloud environments (e.g., AWS, Azure, GCP), MLOps, or container technologies (Docker, Kubernetes).
- Secure communication: You are proficient in the German language (at least C1 level) to clearly convey complex ideas.
- Structured, results-oriented working style - both in a team and independently.
- Design-driven mindset rather than a task-oriented mentality - you contribute ideas and convince others of your approach.
- Quality is a firm standard for you, not just an option.
- Variety and dynamism are motivation for you rather than obstacles.
- Curiosity, willingness to learn, and the desire to try new things are crucial.
Experience
- Experience with Python, R, SQL, or comparable tools - nice to have: ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
SBK Siemens-Betriebskrankenkasse
Seit über 100 Jahren sichert die SBK als starke Solidargemeinschaft Menschen finanziell ab. Auf diese Erfahrung vertrauen heute mehr als 1 Million Kunden. Damit sind wir eine der größten Betriebskrankenkassen Deutschlands und eine der 20 größten gesetzlichen Krankenkassen.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Data Scientist / AI Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
