Data Scientist – Fraud Detection (m/f/x)

About the role

We are looking for a hands‑on Data Scientist who is passionate about applying machine learning to real‑world financial crime problems. You will work with complex transactional data, own models from idea to production, and help build solutions that are accurate, robust, explainable and scalable.

Key responsibilities

• Develop and improve ML models for fraud detection.
• Automate rule discovery and optimisation for fraud detection.
• Explore transactional and behavioural data to identify suspicious patterns.
• Own feature engineering, model training, validation and monitoring.
• Take models from prototype to production and manage the full model lifecycle.
• Communicate results clearly to technical and business stakeholders.

Required profile

• Degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
• 2–3 years of hands‑on experience in machine learning and applied data science, preferably in fraud detection, banking or financial services.
• Strong proficiency in Python and SQL.
• Deep understanding of classification and anomaly‑detection algorithms with ability to select, tune and evaluate models using appropriate metrics.
• End‑to‑end ownership: data exploration, model building, visualisation, cloud deployment (GCP, Azure or AWS) and lifecycle management.
• Experience with large language models (LLMs) and agentic workflows.
• Familiarity with model‑explainability tools such as SHAP and model cards.
• Fluent English and professional working proficiency in German.

Required skills

• Python
• SQL
• Classification algorithms
• Anomaly‑detection algorithms
• Google Cloud Platform (GCP)
• Microsoft Azure
• Amazon Web Services (AWS)
• Large language models (LLMs)
• SHAP
• Model cards

What we offer

• Attractive compensation.
• Flexible hybrid work model (office in Frankfurt and remote).
• High ownership and real impact in a growing fintech.
• Flat structures and short paths from idea to action.
• Collaborative, international team culture with a strong focus on diversity and inclusion.