Data Scientist - Fraud & Risk Analytics (Public Sector)

At Xtremax, we're looking for a Data Scientist to strengthen fraud-risk analytics and improve the reliability of models used to detect misuse of public training subsidies. You'll work with a Data Science and AI team responsible for enhancing existing risk models, evaluating their performance and extending fraud-risk coverage to new schemes.

Your work will combine statistical analysis, model validation, feature development and practical implementation. You'll review model methodologies and thresholds, investigate performance trade-offs, and develop monitoring that accounts for real-world challenges such as imbalanced datasets and delayed or incomplete investigation outcomes.

You'll collaborate with engineers, analysts and programme stakeholders to turn business and policy requirements into measurable risk indicators and defensible analytical decisions. The role offers an opportunity to deepen your experience in applied data science while contributing to maintainable analytics and stronger in-house technical capability.

Responsibilities

• Review and recalibrate fraud-risk model methodologies and thresholds through back-testing, impact assessments and validation.
• Enhance fraud-risk scenarios, indicators, features and analytical logic based on business, policy and scheme requirements.
• Evaluate model performance using precision, recall and other appropriate measures, balancing detection effectiveness with oper