Data Scientist - Fraud & Risk Analytics (Public Sector)
Core
Data Scientist specializing in fraud-risk analytics to detect misuse of public training subsidies and enhance risk models.
Role type
Senior IC data scientist (fraud & risk analytics)
Builds
Fraud-risk models, risk indicators, and technical dashboards for model performance and data drift.
Domain
Public sector / Government / Fraud detection
Deliverable
production ML models
Required skills
Python, SQL, predictive modeling, feature development, back-testing, model validation, statistical analysis, data quality assessment, anomaly investigation
Preferred skills
Imbalanced data handling, model monitoring, data drift detection, Tableau, MLOps, Spark/PySpark, graph analytics, public-sector data governance
Technologies
Python, SQL, Tableau, Spark, PySpark, AWS Redshift, AWS Glue
Responsibilities
Review and recalibrate fraud-risk model methodologies and thresholds; Enhance fraud-risk scenarios, indicators, and analytical logic; Evaluate model performance using precision and recall; Build and improve technical dashboards for model performance and data drift; Develop performance measures for delayed or incomplete investigation outcomes; Analyse complex datasets and document assumptions; Communicate analytical findings to stakeholders; Maintain reproducible code and documentation.
