S
Data Scientist (f/x/m)
Actively Hiring
Full-time Posted about 2 months ago
Responsibilities
- check_circle Develop and improve ML models for fraud detection
- check_circle Work on automated rule discovery and optimization for fraud detection
- check_circle Explore transactional and behavioral data to identify suspicious patterns
- check_circle Own feature engineering, model training, validation, and monitoring
- check_circle Take models from prototype to production
- check_circle Communicate results clearly to technical and business stakeholders
Basic 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, with the 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
Benefits
- check_circle Attractive compensation
- check_circle Flexible hybrid work model, allowing you to split your time between our office in Frankfurt and working from home
- check_circle High ownership and real impact in a growing fintech
- check_circle Flat structures and short paths from idea to action
- check_circle A collaborative, international team culture
About the company
spotixx is a Frankfurt-based European FinTech building technology for the regulated financial sector. Founded in 2019, we are a 60+ people team with deep, established relationships across the German and wider European banking sector, built on years of fraud investigation and insights work delivered inside major banks.
We are bootstrapped and set our own strategy and our own policies, without the compromises of chasing investor timelines. The market is moving toward us: European regulators are opening the door to cross-institutional financial crime intelligence, and we are scaling the team rapidly to meet strong inbound demand.
Tags & Focus Areas
Machine Learning Data Science Ai