Senior Data Scientist

About This RoleAI processing…

Key Responsibilities

• 1
  Build, maintain, and improve ML models and batch training pipelines for AML transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance
• 2
  Engineer Feature Store features mapped to AML typologies and suspicious behaviours, working closely with AML investigators to translate domain knowledge into alerting logic and threshold calibration
• 3
  Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations
• 4
  Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds
• 5
  Partner with AML Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions
• 6
  Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation

Requirements

• Strong Python skills with hands-on data engineering experience and a proven track record of building reliable, production-grade ML workflows
• Experience in feature engineering and unsupervised machine learning, with the ability to translate domain knowledge into model behaviours and alerting logic
• If you don't tick every box, it's ok too because it means you have room to learn and develop your career at SumUp.

Perks & Benefits