Data Science Analyst

Reposted 9 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Junior
Healthtech • Insurance
The Role
Support provider-focused analytics by developing descriptive, predictive, and generative AI-enabled analytics. Collaborate with product owners, data engineering, governance, and clinical teams to build data products, ensure data quality, enable RAG workflows, and communicate business value to stakeholders.
Summary Generated by Built In

Data Science Analyst

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, predictive, and emerging AI-enabled analytics to address complex challenges across global and local healthcare markets.

This role is primarily aligned to the Provider domain, supporting insights related to healthcare providers such as hospitals, physician groups, and ancillary care organizations, and their interaction with health insurance operations. The position will also collaborate closely with adjacent domains, like Clinical and Payment Integrity, to ensure analytics are grounded in clinical relevance, operational efficiency, and value-based care outcomes.

This is an opportunity for a data analyst to demonstrate strong technical capability and business acumen by translating data into actionable insights and scalable data products that drive measurable value for healthcare and health insurance stakeholders.

Job Responsibilities

  • Work with Product Owners and domain stakeholders to understand provider-related business questions and contribute to the selection of appropriate analytical approaches
  • Assist in the development and implementation of predictive and prescriptive analytics, supporting use cases such as provider performance analysis, network insights, and care delivery optimization
  • Participate in an agile operating model, contributing to sprint activities, backlog items, and iterative delivery of analytics and data products within cross-functional teams
  • Support the use of generative AI–enabled analytics in a controlled and responsible manner, including contributing to knowledge bases that enable Retrieval‑Augmented Generation (RAG) for analytics and insight discovery
  • Contribute to the creation and maintenance of quality provider datasets by helping identify critical data elements (CDEs) and supporting data quality, consistency, and usability for analytics
  • Assist in tracking and communicating the business value and outcomes associated with analytics and data products
  • Collaborate with Data Engineering and Cloud Engineering teams to support data ingestion, enrichment, and availability across first- and third-party healthcare and provider data sources
  • Work with Data Governance and AI Governance teams to follow data protection, responsible AI practices, and EU AI Act–related requirements, building familiarity through practical application

Requirements

  • Tertiary education in Data Science, Statistics, Computer Science, Engineering, or a related discipline
  • Working knowledge of International Classification of Diseases (ICD) and its use in healthcare and health insurance analytics
  • Practical experience using Python for data analysis
  • Experience querying and working with SQL and NoSQL data stores
  • Exposure to cloud-based data and analytics platforms, preferably AWS and Databricks (e.g., SageMaker, Athena, or equivalent tools)
  • Basic to intermediate understanding of Foundation Models, including common use cases and limitations in enterprise settings
  • Some hands-on exposure to prompt engineering or agent-based approaches, supporting analytics or insight-generation workflows
  • Awareness and foundational knowledge of the EU AI Act, with interest or initial experience applying governance, transparency, or risk-related concepts in analytics or AI initiatives
  • Good communication skills in English, with the ability to explain analytical findings clearly to non-technical stakeholders; additional languages are an 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.

Skills Required

  • Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related discipline
  • Working knowledge of International Classification of Diseases (ICD)
  • Practical experience using Python for data analysis
  • Experience querying and working with SQL and NoSQL data stores
  • Exposure to cloud-based data and analytics platforms, preferably AWS and Databricks (e.g., SageMaker, Athena, or equivalent tools)
  • Basic to intermediate understanding of Foundation Models and common enterprise use cases/limitations
  • Some hands-on exposure to prompt engineering or agent-based approaches
  • Awareness and foundational knowledge of the EU AI Act and governance concepts
  • Good communication skills in English, able to explain analytical findings to non-technical stakeholders
  • Additional languages

Cigna Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.

  • Strong & Reliable Incentives Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
  • Leave & Time Off Breadth Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
  • Healthcare Strength Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.

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The Company
HQ: Bloomfield, CT
74,000 Employees
Year Founded: 1982

What We Do

At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.

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