Senior Data Scientist – GenAI & Predictive AI

Project overview

Senior Data Scientist – GenAI & Predictive AI starting 18.01.2027 | 6+ Months (Hybrid / Frankfurt am Main)

For our end client in the financial services industry, we are looking for an experienced Senior Data Scientist (m/f/d) with profound expertise in Generative AI, Machine Learning, and statistical modeling.

As part of a company-wide AI program, you will support the development and evaluation of innovative AI solutions. The focus is on combining classic data science methods with modern GenAI technologies, particularly Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Predictive AI.

Responsibilities

• Development, implementation, and validation of machine learning models and statistical methods for operational use cases
• Conception and practical implementation of GenAI and RAG-based Proofs of Concept (PoCs)
• Development of systematic evaluation frameworks for LLM applications regarding faithfulness, answer relevance, context recall, and hallucination detection
• Implementation and evaluation of LLM-as-a-Judge approaches as well as various chunking, retrieval, and context strategies
• Analysis and preparation of unstructured and semi-structured data, documents, and tables
• Development and optimization of prompt engineering and few-shot prompting strategies
• Definition of quantitative quality metrics for objective evaluation and decision-making for AI use cases
• Close collaboration with AI Engineers, Developers, and business departments in agile project teams

Requirements

Project framework:

Are you ready for a new challenge in an innovative AI environment? Then send your current CV as a Word document, stating your availability and hourly rate.

We operate as a personnel consultancy. All formulations in this advertisement are to be understood as gender- and age-neutral. We welcome applications from qualified candidates regardless of age, gender, or personal background.

• Completed studies in Computer Science, Mathematics, Statistics, Physics, Data Science, or a comparable quantitative field (Master's or PhD)
• Profound practical experience in Data Science, Statistics, and Machine Learning, especially Supervised/Unsupervised Learning, Tree-Based Models, Time Series Analysis, and NLP
• Very good Python skills as well as experience with Pandas/Polars, NumPy, Scikit-learn, and PyTorch and/or TensorFlow
• Demonstrable hands-on experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)
• Profound understanding of tokenization, embeddings, context windows, retrieval mechanisms, and modern reasoning models
• Practical experience in the development and quantitative evaluation of LLM/RAG applications, ideally with Ragas, DeepEval, or Langfuse Evals
• Very good knowledge in prompt engineering and few-shot prompting
• Experience in the rapid development and objective evaluation of AI prototypes
• Experience with agile methodologies such as Scrum or Kanban
• Ideally, experience with Dataiku DSS, Explainable AI (SHAP/LIME), as well as AI governance and regulatory requirements
• Industry knowledge in the banking or financial services sector is an advantage
• Fluent German skills (at least C1) as well as good English skills
• Willingness for regular on-site presence in Frankfurt am Main, potentially for several consecutive days if required
• Start: 18.01.2027
• Duration: 6+ months with option for extension
• Location: Frankfurt am Main / Hybrid
• Utilization: By agreement
• Contract type: Freelance project basis
• Language: German C1+ (mandatory), English

Project details

• Start: 2027-01
• Duration: 12 Monate
• Remote: hybrid
• Location: Frankfurt, Deutschland, DE
• Languages: German, English