The Cigna Group
Skills: Python, SQL
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. You will combine people leadership, technical expertise, and strong business partnership to deliver scalable solutions that improve decision quality across a complex client portfolio.
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 …tru…
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