Senior Manager – Data Science, Pricing & Underwriting

🔥 0 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $149.1k - $248.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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The Cigna Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.

📋 Description

• Lead, coach, and develop a team of Data Scientists • 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 hands-on 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 while meeting enterprise standards • Partner with pricing, underwriting, actuarial, data, technology, and analytics teams to turn 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 • 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 • If working at home occasionally or permanently, internet service must be obtained through a cable broadband or fiber optic provider with at least 10Mbps download/5Mbps upload

🏖️ 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