Assistant Manager FWA Data Science

About the Role

Bupa Arabia is seeking an Assistant Manager FWA Data Science to join their team in Makkah, with operations spanning Jeddah and Makkah. This full-time role focuses on transforming analytical prototypes into robust, scalable, and measurable detection models for production implementation, specifically within the Fraud, Waste, and Abuse (FWA) domain. The position requires 5-10 years of relevant experience.

Role Purpose and Context

The FWA Data Science team is responsible for the entire lifecycle of fraud detection models. This includes model enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous improvement. The Assistant Manager will work closely with Actuarial, Claims Integrity, and FWA AI Engineering teams to ensure that FWA detection models remain effective, relevant, and adaptable to evolving fraud patterns post-deployment.

Key Accountabilities

• Assess and refine AI/ML prototypes received from Actuarial teams, improving statistical rigor and enhancing feature engineering methodologies.
• Validate prototype assumptions and develop explainable detection methodologies.
• Support the migration of approved analytical models into cloud-based solutions.
• Improve and retrain FWA models using new data and investigation outcomes, developing advanced fraud detection features and enhancing anomaly detection models.
• Build risk scoring methodologies and improve model precision and operational effectiveness.
• Define model success metrics, monitor precision, recall, and business impact, and perform false-positive and false-negative analysis post-deployment.
• Validate model outputs with investigators and support production readiness reviews.
• Analyze investigation outcomes to identify emerging fraud behaviors, design new detection features, and recommend modifications to existing models.
• Collaborate with FWA operations on evolving threats.
• Monitor the business effectiveness of deployed models, recommend retraining and recalibration activities, and support periodic model reviews.
• Maintain model documentation and governance artifacts.

Experience and Qualifications

• A minimum of 5 to 10 years of experience in data science, with a focus on model development, validation, and deployment.
• Demonstrated experience in transforming analytical prototypes into production-ready detection models.
• Proficiency in model enhancement, feature engineering, calibration, and performance assessment.
• Experience with cloud-based solutions for analytical model migration is preferred.

Work Environment

This is a full-time position based in Makkah, Saudi Arabia, with responsibilities extending to Jeddah. The role involves close collaboration with various internal teams including Actuarial, Claims Integrity, and FWA AI Engineering.

Application Process

Candidates who meet the outlined qualifications and experience are encouraged to apply.