We are seeking a motivated Associate Data Scientist to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team. In this role, you will contribute to the development and deployment of data‑driven and AI‑powered solutions that help detect fraud, protect policyholders, and improve operational efficiency.

You will work under the guidance of senior data scientists and collaborate closely with business partners, data engineers, and ML engineers to translate fraud and risk problems into scalable analytical solutions. This role offers strong opportunities for mentorship, hands‑on learning, and professional growth in applied machine learning and AI, including exposure to Generative AI use cases.

Position Responsibilities

Modeling & Analytics

• Support the development and enhancement of fraud detection and risk analytics models, including statistical models, anomaly detection, and machine learning approaches.
• Perfor...