Data Science Lead Analyst - Cigna Healthcare

Lead and deliver end-to-end analytical support across multiple Data Analytics use case projects in International Health at Cigna Healthcare.

Collaborate with product owners, domain stakeholders, and cross-functional agile squads to define, build, and maintain high-quality data products and agentic AI solutions including Retrieval-Augmented Generation (RAG) applications.

Track, quantify, and communicate business value and impact generated by analytics and AI-enabled data products, while ensuring data completeness, accuracy, and fitness for advanced AI-driven use cases.

Minimum 4 years of experience in technical analytics environment with data analytics and data science/machine learning responsibilities.

Tertiary degree in Data Science, Statistics, Computer Science, Engineering, or related disciplines.

Proficiency in Python (for data analysis and modeling), SQL, NoSQL databases, and cloud-based analytics platforms (preferably AWS and Databricks including SageMaker, Athena, or equivalents).

Strong understanding and hands-on experience with Foundation Models, prompt engineering, agent engineering, and RAG-based analytics workflows.

Experienced in applying advanced data science and AI techniques within complex healthcare or related industries, particularly in agentic AI and knowledge-based systems.

Comfortable working within an agile environment contributing to sprint planning, backlog refinement, and iterative data product delivery in cross-functional teams.

Skilled at translating business challenges into analytics use cases and communicating insights clearly to diverse stakeholders including technical and non-technical teams.