Job 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