Data Science Lead Analyst - Cigna Healthcare

Cigna Health and Life Insurance Company; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Performance bonus

Job summary

Cigna Health and Life Insurance Company is seeking a Lead Data Analyst to drive end-to-end analytics within the Data Science and AI Engineering team. The role focuses on descriptive and predictive analytics, agentic AI, and domain-aligned knowledge bases for Retrieval-Augmented Generation, in a Bangalore-based office.

You will partner with cross-functional teams, deliver analytics across global markets, and contribute to data governance and policy compliance while advancing data-driven

Qualifications

• 4+ years in a technical analytics environment.
• Tertiary education in Data Science, Statistics, CS, Engineering, or related disciplines.
• Hands-on experience with Python for data analysis and modeling.
• Experience with SQL and NoSQL databases.
• Experience in cloud-based data and analytics platforms (AWS, Databricks; SageMaker, Athena, etc.).
• Good understanding of Foundation Models and enterprise usage patterns.
• Hands-on with prompt engineering and agent engineering for analytics workflows.
• Coding and modelling in SQL/R/Python and big data platforms.
• Experience in visualization and data management tools is a plus.
• Experience with complex datasets.

Responsibilities

• Partner with Product Owners and domain stakeholders to define analytics objectives.
• Operate within an agile model, delivering analytics and data products in sprints.
• Design and maintain knowledge bases for Retrieval-Augmented Generation and explainable insights.
• Curate data elements to ensure completeness, accuracy, and fitness for analytics.
• Quantify and communicate the business value of deployed analytics solutions.
• Collaborate with Data/Cloud Engineering on data ingestion and availability.
• Provide support to help stakeholders adopt analytical products.
• Keep abreast of advancements in data science and analytics.

Skills

Python

SQL

NoSQL

Data analytics

Machine learning

AWS

Databricks

Prompt engineering

Agent engineering

R

Data visualization

Big data

Education

Data Science/Statistics/CS/Engineering degree

Tools

Databricks

AWS

SageMaker

Athena

Job description

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. Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.