Data Scientist

Berlin · Barcelona · 2-4 years experience · Full-time · Remote · Posted Oct 7, 2026

At a glance

N26 is seeking a Data Scientist to develop production-ready machine learning applications for customer-facing product features.
The role focuses on building solutions for financial crime prevention and credit risk assessment while collaborating with cross-functional teams.

Own projects from data exploration and feature engineering through modelling to deployment.
Contribute to solutions in financial crime prevention and credit risk assessment.
Collaborate with data scientists, machine learning engineers, and product managers.
Support junior colleagues through code reviews, pairing, and knowledge sharing.
Experiment with new tech stacks and project ideas.
Ship and maintain your own code.

Bachelor’s or Master’s degree in a quantitative discipline such as mathematics, statistics, or computer science.
Practical experience developing machine learning solutions with at least one model taken to production.
Hands-on experience with classification, regression, time series analysis, and unsupervised models.
Solid understanding of model evaluation, including handling imbalanced data, validation strategies, and calibration.
Strong programming skills in Python and SQL.
Working knowledge of infrastructure including Docker, containers, CI/CD, and GitHub Actions.
Familiarity with Deep Learning concepts and at least one framework (TensorFlow, Keras, or PyTorch).
Full professional proficiency in English.

Experience in banking, fraud detection, or credit risk.
Knowledge of the banking industry including regulatory and compliance, PD/LGD/EAD modelling, credit card fraud, and anti-money laundering.
Experience with cloud ML platforms, especially AWS SageMaker.
Familiarity with Large Language Models (LLMs).
Early experience mentoring or onboarding colleagues.

Hybrid model requiring two days in the office per week (one dedicated team day plus one day of choice).
Flexibility for remote work outside of required office days.
Some roles may require additional in-office presence.

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