> Markdown version of [/jobs/ext/4711230-senior-manager-data-science-pricing-underwriting-remote](https://www.wearedevelopers.com/jobs/ext/4711230-senior-manager-data-science-pricing-underwriting-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager - Data Science (Pricing & Underwriting) - Remote - **Company:** Cigna - **Location:** Bloomfield, CT, United States (Remote available) - **Experience:** Expert - **Salary:** $149,100 - $248,500 - **Contract:** Permanent contract - **Skills:** LTE (Telecommunication), Big Data, Internet Service Provider, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Apache Spark, Model Validation, Information Technology - **Published:** November 14, 2026 - **Apply:** https://dejobs.org/x/x/60512A1A9EB943688B8CE2EE2517B937/job/ ## About the Role * 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., * 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. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. ## Description * 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.