Senior Data Science Advisor – Pricing & Underwriting

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The Cigna Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

Healthcare • Insurance

The Cigna Group is a global health services company that provides medical, dental, pharmacy, behavioral and supplemental insurance products and benefits to individuals, families, employers, brokers, providers and Medicare beneficiaries. It offers employer-sponsored group plans, individual and family plans (including Open Enrollment offerings), Medicare, international health insurance covering more than 200 countries, and digital member services through the myCigna platform (including telehealth and claims management). Its products are delivered through operating subsidiaries such as Cigna Health and Life Insurance Company and other regional affiliates.

📋 Description

• Build models to identify opportunities for pricing and underwriting partners • Perform feature engineering, model development, and model monitoring and maintenance using medical, prescription drug, utilization management, and third-party data • Contribute to comprehensive analytics for pricing and underwriting • Execute special projects improving Commercial Healthcare underwriting • Create actionable insights and recommendations for business leaders supporting Cigna’s strategic objectives • Communicate work regularly with business stakeholders and senior leadership • Evaluate and leverage current analytic tools and techniques to modernize pricing and underwriting organizations • Ensure solutions deliver long-term value and integrate with current processes • Collaborate with business leaders to design, launch, and measure test-and-learn pilots • Develop GLM, machine learning, clustering, LLM, or other advanced models aligned to underwriting and actuarial business problems • Deliver robust, well-documented outputs with leadership, data science, business stakeholder, and engineering partners

🎯 Requirements

• 5+ years of direct Data Science experience in a healthcare-related environment • Strong background in statistics, machine learning, and model development • Experience deploying ML/predictive models to production or cloud environments • Strong skills with Python, SQL, Git, Keras, and TensorFlow • Knowledge of healthcare data such as claims, EHR, and laboratory data • Experience with best programming practices and writing clean, documented, well-structured code • Ability to conduct peer reviews • Ability to champion documentation and logging • Ability to own projects end-to-end, including scoping, ideation, development, and production • Ability to independently deliver clear, well-developed presentations for technical and business audiences • Ability to create data-science-specific project goals within high-level project deliverables • Ability to communicate timeline changes, rationale, and goals to meet deadlines • Home internet connection obtained through cable broadband or fiber optic service, with at least 10 Mbps download and 5 Mbps upload, if working from home • MS or PhD in a STEM-related field preferred

🏖️ Benefits

• Annual bonus plan eligibility • Medical benefits • Vision benefits • Dental benefits • Well-being and behavioral health programs • 401(k) • Company-paid life insurance • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence