Senior Manager – Data Science, Pricing & Underwriting

🕒 September 3

🇺🇸 United States – Remote

💵 $149.1k - $248.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 38%

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• Open for 72 days.
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• Reposted once.

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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

• Lead, coach, and develop a team of Data Scientists • Build 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 high-impact data science initiatives • Provide technical direction for solution design, predictive modeling, machine learning, statistical analysis, forecasting, model evaluation, and risk estimation • Establish standards for peer review, documentation, validation, monitoring, performance tracking, governance, and model maintenance • Improve model performance, explainability, reproducibility, reliability, and business relevance • Partner with pricing, underwriting, actuarial, data, technology, and analytics teams to translate business needs into analytical roadmaps and production-ready solutions • Communicate model outputs, assumptions, limitations, and recommendations to technical and non-technical audiences • Support adoption of analytical solutions in pricing and underwriting workflows

🎯 Requirements

• 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 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 • Internet connection through cable broadband or fiber optic service with at least 10Mbps download/5Mbps upload when working from home • Bachelor's or advanced degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field is preferred • 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

🏖️ Benefits

• Annual bonus plan eligibility • Medical insurance • Vision insurance • Dental insurance • 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 • Remote work arrangement

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