Manager - FWA Data Science

Bupa Arabia
Jeddah
Full timeFunction: Data Science & Machine LearningExperience: 4-6 yearsEducation: bachelorsSkills: ["Problem solving","Stakeholder management","Communication & presentation skills","Cross-functional collaboration"]

Transform validated FWA analytical prototypes into production-ready detection models. Own the full lifecycle of model enhancement, feature engineering, calibration, validation, explainability, and performance measurement, keeping models aligned with evolving fraud patterns. Collaborate with Actuarial, Claims Integrity, and FWA AI Engineering to industrialize models for cloud-based deployment, improve scoring and anomaly detection, and ensure validation metrics and investigator feedback drive continuous optimization.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Bupa Arabia
Bupa Arabia
1 week ago

Manager - FWA Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Transform validated FWA analytical prototypes into production-ready detection models. Own the full lifecycle of model enhancement, feature engineering, calibration, validation, explainability, and performance measurement, keeping models aligned with evolving fraud patterns. Collaborate with Actuarial, Claims Integrity, and FWA AI Engineering to industrialize models for cloud-based deployment, improve scoring and anomaly detection, and ensure validation metrics and investigator feedback drive continuous optimization.
Location: Jeddah
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Assess AI/ML prototypes from Actuarial teams and improve logic, statistical rigor, and assumptions.
  • •Enhance, retrain, and develop FWA detection and anomaly detection models using new data and investigation outcomes.
  • •Define and monitor model success metrics (precision/recall) and analyze false positives/negatives after go-live.
  • •Analyze investigation outcomes to identify emerging fraud behaviors and evolve detection features and risk scoring.
  • •Monitor deployed model effectiveness, recommend retraining/calibration, support production readiness, and maintain documentation/governance artifacts.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • •4–6 years of experience in health insurance, claims analytics, FWA, risk management, or financial crime analytics.
  • •Experience working with Google Cloud Platform (GCP).
  • •Experience using SAS for statistical analysis and model assessment.
  • •Ability to develop, validate, and improve fraud detection models, including feature engineering, explainability, and performance assessment.
Experience:4-6 yearsHealth insuranceClaims analyticsFraud analyticsRisk managementFinancial crime analyticsFWA
Education:Bachelor's
Skills:Problem solvingStakeholder managementCommunication & presentation skillsCross-functional collaboration
Tech Stack:PythonSQLSASMachine LearningFeature EngineeringModel ValidationPerformance AnalysisFWAFraud AnalyticsHealthcare Claims AnalyticsNLPLLMGoogle Cloud Platform (GCP)Cloud-Based Analytics SolutionsPower BIData VisualizationAnalytics PrototypesExplainability

Company Brief

Bupa Arabia
Provides health insurance products and managed healthcare services in Saudi Arabia for individuals and corporate clients. The company focuses on coverage administration, medical network access, and digital health support for members.
Industry: Health Insurance (Payers)
Company Size: Large (251 to 1,000 employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Jeddah, Saudi Arabia
Founded: 1997
WebsiteLinkedIn