•Partner with Product Owners and domain stakeholders to understand business challenges, and recommend appropriate analytical approaches
•Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products
•Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.
•Design, curate, and maintain high-quality data products by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases
•Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products
•Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data
•Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
•Build industry knowledge on the advancements in the field of data science and analytics
•Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna DNA culture.
Key activities
•Working in a team to support end-to-end analytical projects - Liaising with stakeholders to determine objectives / scope of upcoming projects
•Data exploration, cleansing and manipulation
•Determining appropriate type of analysis and undertaking analysis
•Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools
•Ongoing stakeholder interaction (internal and external as required) on project progress
•Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team
•Participate and contribute in learning forums and sharing knowledge with wider team
Experience and education required
•4+ years’ experience in a technical analytics environment, carrying out data analytics and data science/machine learning
•Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines
•Hands-on experience with Python for data analysis and modeling
•Experience working with SQL and NoSQL databases
•Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent
•Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns
•Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases
•Coding and modelling experience in SQL / R / Python and / or big data platforms
•Experience in visualization and data management tools an added advantage
•Experience working with complex datasets
•Attention to detail & drive for continuous improvement
•Participation in external data hackathons and competitions will be an added advantage
About The Cigna Group
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
