Data Scientist (f/m/d)

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.

Your Qualification

• 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

Additional Information

Join our team! We offer a secure position in a friendly, collaborative environment with an international scope. You’ll benefit from flat hierarchies, an open-door culture, and extensive internal and external training for your professional and personal development. Mobile work is available within company guidelines, and we provide flexible working hours, attractive social benefits, and a high degree of autonomy.

Our team has a strong hands-on, can‑do mindset and a track record of exceptional delivery. We prioritize shipping robust, high‑impact solutions over delaying for perfection; favor simplicity over unnecessary complexity; invest in tooling to reduce manual effort and focus on creating value for the organization.