Data Scientist (f/x/m)
HybridFrankfurt am Main, Hesse, Germany
EXPIREDFrankfurt am Main, Hesse, GermanyHybridFull TimeDoctorate Or Professional Degree
Full TimeDoctorate Or Professional Degree
Job Summary
Develop and improve machine learning models for fraud detection by exploring transactional and behavioral data to identify suspicious patterns. Own feature engineering, model training, validation, and monitoring, then take prototypes from idea to production deployment on cloud platforms. Optimize automated rules and communicate results clearly to technical and business stakeholders. Requires Python, SQL, and experience with classification, anomaly detection, and LLMs; fluent in English and German. Based in Frankfurt with flexible hybrid work.
Required Qualifications
- 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
- ideally in fraud detection, banking, or financial services
- Strong proficiency in Python and SQL
- Deep understanding of classification and anomaly detection algorithms
- ability to select, tune, and evaluate models using appropriate metrics and validation strategies
- End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full model lifecycle
- Experience with LLMs and agentic workflows
- Familiarity with model explainability tools such as SHAP and model cards
- Structured, self-directed working style and strong communication skills
- Fluent in English
- professional working proficiency in German, including client-facing technical discussions
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