Data Scientist (f/m/d)
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. At TÜV SÜD Group, we have employees from more than 100 different countries collaborating together. People of different backgrounds, skills, and pursuing different life goals. Our strength comes from these countless and varied perspectives. We are committed to be an inclusive and diverse workplace by welcoming people of all backgrounds. We want Diversity & Inclusion (D&I) to be a foundation of our company and create an environment where all our employees can trust they will be treated with respect, regardless of gender, nationality, ethnic background, faith, beliefs, disabilities, age, sexual orientation, or identity. As such, our employees are expected to behave at all times in a manner consistent with TÜV SÜD Group Code of Ethics and Company values. We firmly believe embedding D&I in the heart of what we do will inherently contribute to the success of TÜV SÜD Group. Click here to find out more about Diversity at TÜV SÜD Group.
- 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.
- 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
We offer
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.
Work Area: Digital, IT, IT Security & Safety Country/Region: Germany Job Location: München Working Model: Hybrid Employment Type: Full time / regular Company: TÜV SÜD Digital Service GmbH Org Unit Code: DIG-DIA-KCR Requisition ID: 7641 Duration in months (if limited contract):