Data Science Senior 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
- Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches
- Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, network optimization, and care delivery outcomes
- 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 generative AI-enabled analytics, including building and maintaining domain-aligned knowledge bases to support Retrieval-Augmented Generation (RAG), agent-assisted analytics, and insight generation use cases
- Design, curate, and maintain high-quality provider datasets 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
- Collaborate with Data Governance and AI Governance teams to ensure compliance with data protection requirements, the EU AI Act, and responsible AI principles, preferably drawing on prior hands-on experience in regulated environments
Requirements
- Tertiary education in Data Science, Statistics, Computer Science, Engineering, or a related discipline
- Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics
- 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
- Solid knowledge of the EU AI Act, with practical experience applying its requirements (e.g., data governance, transparency, risk management, and human oversight) in analytics or AI-related initiatives
- Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; 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
- Knowledge of International Classification of Diseases (ICD) and application in healthcare analytics
- 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 (experience required; AWS and Databricks preferred)
- Experience with AWS services such as SageMaker and Athena (or equivalent)
- Good understanding of Foundation Models and their enterprise usage, limitations, and risks
- Hands-on experience with prompt engineering and agent engineering, supporting RAG-based solutions and analytics workflows
- Solid knowledge of the EU AI Act with practical experience applying its requirements in analytics or AI initiatives
- Strong communication skills in English (ability to translate analytical insights into business narratives)
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.
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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.
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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.
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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.
Cigna Insights
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.
