Job Overview
Location
4 Locations
Job Type
Full-time
Category
Data Science
Date Posted
July 9, 2026
Full Job Description
đź“‹ Description
- • Lead the strategy, development, enhancement, and support of machine learning models that enable pricing, underwriting, risk scoring, presale, and renewal decision-making.
- • Establish and continuously improve model lifecycle practices, including development, validation, monitoring, documentation, governance, release management, and model refresh processes.
- • Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics.
- • Drive execution across multiple model products by prioritizing work, managing delivery plans, coordinating releases, and ensuring reliable production support.
- • Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and governance teams to embed model outputs into business processes and decision frameworks.
- • Translate complex analytical concepts into clear business insights, helping stakeholders understand model performance, limitations, opportunities, and risks.
- • Ensure compliance with model governance, audit, documentation, and monitoring requirements while maintaining high standards for quality and operational reliability.
- • Build and develop a high-performing data science organization through coaching, talent development, collaboration, accountability, and continuous improvement.
🎯 Requirements
- • 10+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field.
- • 5+ years of experience leading and developing technical teams responsible for production-grade analytics or machine learning solutions.
- • Strong expertise in machine learning, statistical modeling, model monitoring, validation, and explainability techniques.
- • Hands-on experience with Python, SQL, Git, and modern analytics development practices.
- • Experience managing model lifecycle processes, including governance, documentation, monitoring, testing, and production support.
- • Demonstrated ability to influence senior business and technical stakeholders and translate complex analytical findings into actionable business decisions.
🏖️ Benefits
- • Comprehensive range of benefits, with a focus on supporting your whole health.
- • Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs.
- • 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence.
Skills & Technologies
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About The Cigna Group
The Cigna Group is a global health services company formed in 1982 through the merger of Connecticut General and INA Corporation. It provides medical, dental, disability, life and accident insurance, pharmacy benefit management, and behavioral health services to employers, individuals and government entities. Headquartered in Bloomfield, Connecticut, the company operates in over 30 countries and jurisdictions, serving more than 180 million customer relationships worldwide through its subsidiaries and affiliates.
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