Senior Data Scientist - Renewal Risk Modeling

Help shape smarter pricing and underwriting decisions through trusted, explainable data science.

In this role, you will lead a team that builds and advances predictive models used to estimate healthcare renewal risk.

Responsibilities

• Lead, coach, and develop a team of Data Scientists while building a culture of learning, collaboration, technical excellence, and innovation.
• Guide the strategy and long-term evolution of renewal risk estimation capabilities, including a flagship renewal risk model and related analytics.
• Set priorities and allocate resources across a portfolio of high-impact data science initiatives to deliver reliable business outcomes.
• Provide hands-on technical direction for solution design, predictive modeling, machine learning, statistical analysis, forecasting, model evaluation, and risk estimation.
• Establish practical standards for peer review, documentation, validation, monitoring, performance tracking, governance, and ongoing model maintenance.
• Improve model performance, explainability, reproducibility, reliability, and business relevance while meeting enterprise standards.
• Partner with pricing, underwriting, actuarial, data, technology, and analytics teams to turn business needs into clear analytical roadmaps and production-ready solutions.
• Communicate model outputs, assumptions, limitations, and recommendations in a clear way for technical and non-technical audiences.
• Support adoption of analytical solutions by helping stakeholders understand how to use model insights in pricing and underwriting workflows.

Required Qualifications

• 8+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field.
• Experience developing predictive models, machine learning solutions, and advanced analytical methods using large, complex datasets.
• Experience leading Data Scientists and delivering complex analytical initiatives that solve business problems and influence decisions.
• Strong knowledge of statistical modeling, predictive analytics, machine learning, model evaluation, and experimental design.
• Proficiency with modern data science technologies such as Python, SQL, Spark, and machine learning frameworks.
• Experience developing, validating, monitoring, and governing analytical models in production environments.
• Strong communication and stakeholder management skills, including the ability to explain complex concepts to varied audiences.
• Ability to balance strategic leadership with hands-on technical contribution.

Preferred Qualifications

• Bachelor's or advanced degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience with healthcare data, including medical claims, pharmacy claims, eligibility, provider, consumer, or related datasets.
• Experience supporting pricing, underwriting, risk assessment, forecasting, or related business functions.
• Experience deploying and supporting machine learning solutions in production.
• Experience leading cross-functional work across business, analytics, and technology teams.
• Familiarity with responsible AI, model governance, and explainability practices.

The Cigna Group offers a comprehensive range of benefits, including medical, vision, dental, and well-being and behavioral health programs, 401(k), company-paid life insurance, tuition reimbursement, and paid time off.

The anticipated annual salary for this role is $149,100 - $248,500, depending on relevant factors, including experience and geographic location.