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# Data Scientist

- **Company:** TÜV Süd AG
- **Location:** München, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Information Retrieval, Python (Programming Language), Unstructured Data, Large Language Models, Generative AI, Build Management, Information Technology
- **Published:** September 19, 2026
- **Apply:** https://www.careerjet.de/jobad/de9f8081c9d67fd661ff14df4b5baaf39e

## About the Role

* Successfully completed a degree in Data Science, Computer Science, Physics, Mathematics, Statistics, or a related field
 * At least 4 years of practical experience applying data science methods in a corporate or consulting environment
 * In-depth expertise in modern AI technologies, including large language models (LLMs), generative AI, and AI-powered business solutions
 * Strong proficiency in Python for data science, combined with solid software engineering fundamentals
 * Excellent communication skills and the ability to independently lead projects end-to-end, including effective collaboration with non-technical business stakeholders
 * Experience with information retrieval techniques, especially retrieval-augmented generation (RAG), is a plus.
 * Familiarity with Microsoft Azure and Azure DevOps is advantageous.
 * Proficiency in German is highly desirable

## Description

At TÜV SÜD Group we are passionate about technology. Innovations impact our daily lives in countless ways, and we are dedicated to being a part of that progress. We test, we audit, we inspect, we advise. We never stop challenging ourselves for the safety of society and its people. We breathe technology, we strive for professional excellence, and we leave a mark. We take the future into our hands. We are TÜV SÜD Group.
Your Tasks

 * Design and build data science solutions, across TÜV SÜD domains (e.g., medical technology, elevators, automotive, product testing, …).
 * Engineer LLM solutions, in particular in the area of conversational AI, end to end: prompt design / refinement, retrieval pipelines, safety / guardrails, and systematic evaluation.
 * Support in monitoring and improving deployed solutions by screening quality, latency, and cost; triaging user feedback; and resolving incidents.
 * Collaborate in cross-functional, agile teams with data scientists, software engineers, and subject-matter experts.
 * Prototype, experiment, and benchmark new approaches.
 * Identify trends in unstructured data processing and sourcing (OCR / document parsing, embeddings, etc.)
 * Contribute to internal tooling, documentation, and enablement for LLM development and evaluation.


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