
About the role
Senior/Lead Data Scientist at Klarna in Milan, shaping consumer-level credit scoring and portfolio valuation. This is the PD and calibration seat, not the transformer research posting: real-time probability of default, economic return, regulatory and fairness constraints, explainability.
You design and maintain those models, explore LLMs for explainability and feature engineering, and mentor juniors. Five-plus years in consumer lending, cards, or BNPL is the floor. Python, SQL, XGBoost, scikit-learn, MLflow, and SHAP-class explainability.
Highlights
- Milan onsite, core credit risk modeling.
- Python, SQL, XGBoost, scikit-learn, MLflow.
- Real-time PD, calibration, fairness, plus LLM extras.
- Title spans Senior/Lead. 5+ years. No salary disclosed.
This recap is dataskew's editorial summary, not the company's copy.