Data Scientist at N26
Germany
Posted
on-site · full-time · Visa sponsorship
Responsibilities:
- Lead well-scoped ML projects from data exploration and feature engineering through modelling and production deployment.
- Build customer-facing solutions for financial crime prevention and credit risk assessment.
- Work closely with data scientists, ML engineers and product managers to prioritise and deliver impact.
- Mentor and support junior team members via code reviews, pairing and knowledge sharing.
- Prototype and evaluate new technologies and approaches when beneficial.
Requirements:
- Bachelor’s or Master’s in a quantitative field and ~2–4 years' practical ML experience with at least one production model.
- Experience with classification/regression (CatBoost/XGBoost/LightGBM), time-series methods (ARIMA/Prophet) and unsupervised techniques (clustering, anomaly detection).
- Strong model evaluation skills (imbalanced data, validation, calibration).
- Proficiency in Python and SQL; working knowledge of Docker/containers, CI/CD and GitHub Actions.
- Familiarity with deep learning (neural nets, transformers, autoencoders) and at least one framework (TensorFlow/Keras/PyTorch).
- Organised, self-driven, collaborative and fluent in English (professional level).