Data Scientist

Обязанности

Own well-scoped projects from data exploration and feature engineering through modelling to deployment, with guidance from senior colleagues on larger or more ambiguous problems.; Contribute to solutions in financial crime prevention and credit risk assessment that reach customers.; Collaborate with data scientists, machine learning engineers and product managers to deliver customer value.; Support junior colleagues through code reviews, pairing and knowledge sharing.; Have the opportunity to experiment with new tech stacks and project ideas.

Требования

Bachelor’s or Master’s degree with a focus on quantitative disciplines including mathematics, statistics, or computer science.; Practical experience (typically 2–4 years) developing machine learning solutions, with at least one model taken to production. Experience in banking, fraud detection, or credit risk is a plus.; Hands-on experience with a range of modelling techniques, including: Classification and regression models: (e.g., CatBoost, XGBoost, LightGBM); Time Series Analysis: (e.g., ARIMA, SARIMA, Prophet); Unsupervised Models: (e.g., clustering, anomaly detection such as Isolation Forest); Solid understanding of model evaluation, including handling imbalanced data, validation strategies, and calibration.; Strong programming skills in Python and SQL.; Working knowledge of infrastructure (e.g., Docker/containers, CI/CD, GitHub Actions) and the ability to ship and maintain your own code.; Familiarity with Deep Learning concepts (neural networks, transformers, autoencoders) and at least one framework (TensorFlow, Keras, or PyTorch).; You are organised and self-motivated, and can drive projects forward independently while knowing when to ask for input.; Language skills: English (full professional proficiency).

Условия

Accelerate your career growth by joining one of Europe’s most talked about disruptors.; Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.; Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time.; Some roles may require additional in-office presence.; As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.; Additional day of annual leave for each year of service.; A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.; A relocation package with visa support for those who need it.

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