Senior Data Scientist - Fraud Model Validation

Senior Data Scientist, Fraud Model Validation at Klarna in Milan. This is independent 2nd-line review of fraud ML, not the team that trains the production detectors. You challenge conceptual soundness, data integrity, features, deployment design, and monitoring, then build challenger models when the first line needs a pushback.

The posting also wants agentic tooling that reads model docs and code and surfaces risks. Scale is large: 100M+ transactions, hundreds of features, leakage and bias checks, plus CI/CD and SageMaker-class deploys. Stack called out: Python, SQL, PySpark, scikit-learn, Docker, AWS.

Highlights

• Milan onsite (also listed with Stockholm and London).
• Validation and challengers, not first-line model building.
• Python, SQL, Spark, scikit-learn, Docker, AWS SageMaker.
• Senior. No salary disclosed.