About the opportunity
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We are seeking a Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features.
In this role, you will:
- 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. What you need to be successful (Background and Skills):
- 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) an

📌 Data Scientist (Cataluña)
🏢 N26
📍 Cataluña