Data Science Advisor - Renewal Risk - Remote

The Cigna Group

2d • Remote

About The Position

We’re looking for a Data Science Advisor to help shape how data science drives profitable growth across The Cigna Group. As part of the Data Science Center of Expertise (DSCOE), this role partners closely with Actuarial, Underwriting, and Data & Analytics leaders to turn advanced analytics into smarter underwriting and pricing decisions. If you enjoy solving complex problems, influencing strategy, and working collaboratively across disciplines, this role offers meaningful impact and growth.

Requirements

• 5+ years of experience in data science, advanced analytics, or a related field.
• Strong proficiency in machine learning, statistics, and data analysis using Python or R, SQL, and modern version control tools (e.g., Git).
• Experience working with large, complex datasets; healthcare data such as claims or EHR is strongly preferred.
• Demonstrated ability to independently deliver complex analytical work, identify risks or blockers, and propose practical solutions.
• Strong communication skills with the ability to explain technical concepts in clear, business-focused language.

Nice To Haves

• Experience deploying predictive or machine learning models to production or cloud-based environments.
• Familiarity with underwriting, pricing, or insurance-related analytics.
• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline; advanced degree preferred.

Responsibilities

• Develop and apply advanced statistical and machine learning models that inform underwriting and pricing strategies and improve prediction of claims cost and risk drivers.
• Design and evaluate experiments using innovative data sources and modeling techniques to assess business impact and model effectiveness.
• Generate deep insights into client- and customer-level risk variability and translate findings into clear, actionable recommendations for partners and leaders.
• Influence decisions around data architecture and future data investments by assessing current capabilities and identifying opportunities to scale impact.
• Communicate results and recommendations through clear, well-structured analysis and presentations tailored to both technical and non-technical audiences.
• Collaborate across the Data Science COE, underwriting, pricing, and analytics teams to deliver solutions aligned to enterprise goals.

Benefits

• 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.
• We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level