The posting
Data Scientists Work location- Paya Lebar
- Use Python and SQL to extract, transform, and analyse large datasets, validate data quality, and investigate anomalies.
- Enhance fraud detection models for public training grants by developing risk indicators, engineering features, and refining scoring logic.
- Back-test model changes and recalibrate alert thresholds, balancing precision and recall when investigation outcomes are delayed or incomplete.
- Build and deploy a dashboard to monitor model performance, data drift, and concept drift, with alerts for significant changes.
- Assess new grant schemes and translate eligibility rules, claims processes, and fraud patterns into model requirements.
- Maintain reproducible code and document model assumptions, validation results, and changes for governance and handover.



