AI Data Scientist

Project overview

We are looking for an experienced AI Data Scientist for a challenging project in Data & Analytics. You will translate complex business questions and processes into well-founded statistical models and modern AI solutions, as well as methodically conceptualize, develop, and validate GenAI and Machine Learning use cases.

Your tasks include the conception, development, and validation of Generative AI Proofs of Concepts, as well as the development of evaluation frameworks for LLM, RAG, and agent systems to measure response quality and hallucinations. You will analyze and prepare unstructured and semi-structured data and optimize chunking, prompting, and retrieval strategies. Furthermore, you will develop statistical models and machine learning algorithms for operational use cases, particularly in the area of Predictive AI.

We expect profound knowledge in statistics and machine learning, as well as excellent Python skills with confident use of the data science stack (Pandas, Polars, NumPy, Scikit-Learn, PyTorch or TensorFlow). In-depth experience with Generative AI, LLMs, RAG evaluation, and prompt engineering is required. Knowledge of common evaluation frameworks such as Ragas, DeepEval, or Langfuse Evals is advantageous.

A completed Master's degree or PhD in Computer Science, Mathematics, Statistics, Physics, Data Science, or a comparable field is a prerequisite.

Project details

Start January, duration 12+ months, 5 days per week, hybrid with remote and on-site components. Negotiable rate. German and English required.

• Start: Januar 2027
• Duration: 12+ Monate
• Remote: hybrid
• Location: Frankfurt, DE
• Languages: German, English