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Data Science Lead Analyst - Cigna Healthcare

Cigna

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544 open healthcare roles across 94 companies are on ApplySarthi right now, most of them in Bengaluru (63), Delhi NCR (4), Mumbai (2).

What healthcare roles keep asking for: Stakeholder management (16%), AWS (15%), Excel (12%) — counted across their open postings here.

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Cigna has 569 open roles listed here.

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Preparing for this interview

Interviews for healthcare roles keep coming back to Stakeholder management, AWS, Excel. Practise those questions before you sit with Cigna.

Questions you are likely to be asked

  1. Why do you want to join Cigna?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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Lead Data Analyst IM D&A Job Role: Lead Data Analyst Location: Bangalore, India Job Objective: We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets. This is a technical role that delivers quality end-to-end analytical support across multiple D&A use case projects of Cigna International Markets. The role of the Data Analyst is to also work as a member of the IM D&A team and with stakeholders and, transform business questions and issues into data driven analytical solutions. Key stakeholders will include: direct team members (Data Scientists, Product Owners/Managers, Analytics leaders, Data Engineers, IT Engineers and Data Governance specialists) and key business stakeholders. Key responsibilities 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.

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Listed on workday · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Cigna, not by us.