Experteer Overview
As a Data Scientist at N26 you will own end-to-end ML projects from exploration to deployment, delivering practical models for customer-facing features. You’ll work within Data Science to tackle financial crime prevention and credit risk use cases and push innovations in collaboration with ML engineers and product managers. You’ll mentor teammates through reviews and knowledge sharing, while exploring new tech stacks. This role combines hands-on modeling with real-world impact in digital banking, offering broad learning and ownership from day one.

Compensaciones / Incentivos
• Own scoped ML projects from data exploration and feature engineering through modelling to deployment
• Contribute to financial crime prevention and credit risk solutions reaching customers
• Collaborate with data scientists, ML engineers and product managers to deliver customer value
• Support junior colleagues through code reviews, pairing and knowledge sharing
• Experiment with new tech stacks and project ideas

Responsabilidades




• Bachelor's or Master's degree in quantitative disciplines (math, statistics, or computer science)
• 2–4 years practical ML development experience with at least one model in production
• Experience with classification/regression models (CatBoost, XGBoost, LightGBM)
• Time series (ARIMA, SARIMA, Prophet) and unsupervised methods (e.g., clustering, Isolation Forest)
• Strong Python and SQL programming skills
• Working knowledge of Docker/containers, CI/CD, GitHub Actions
• Familiarity with deep learning frameworks (TensorFlow, Keras, PyTorch)
• Organised, self-motivated, capable of driving projects with limited input
• English proficiency

Requisitos principales
• Personal development budget
• Work-from-home budget
• Discounts for fitness and wellness
• Language apps
• Public transportation benefits
• Hybrid work with in-office days

📌 Data Scientist (Barcelona)
🏢 N26
📍 Barcelona