Senior Manager - Data Science (Pricing & Underwriting) - Remote

Cigna Health and Life Insurance Company; Bloomfield, Northern (CT, KY); Hybrid; USD 149,000 - 249,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k)

Tuition reimbursement

Paid time off and holidays

Job summary

The Cigna Group is seeking an experienced data science leader to guide a team developing renewal risk estimation capabilities and flagship models. You will set priorities across high‑impact analytics, provide hands‑on modeling direction, and ensure governance, validation, and production readiness.

Collaboration with pricing, underwriting, actuarial, and analytics teams will translate business needs into actionable roadmaps.

Qualifications

• 8+ years of experience in data science or related quantitative field.
• Experience developing predictive models and ML solutions on large datasets.
• Experience leading Data Scientists and delivering complex analytical initiatives.
• Strong knowledge of statistical modeling, predictive analytics, ML, evaluation, and experimental design.
• Proficiency with Python, SQL, Spark and ML frameworks.
• Experience deploying, monitoring, and governing models in production.
• Strong communication and stakeholder management skills.
• Ability to balance strategic leadership with hands-on contribution.

Responsibilities

• Lead, coach, and develop a team of Data Scientists.
• Guide strategy and evolution of renewal risk estimation capabilities.
• Set priorities and allocate resources across data science initiatives.
• Provide hands-on technical direction for modeling, forecasting, and evaluation.
• Establish standards for review, validation, monitoring, and governance.
• Improve model performance, explainability, and business relevance.
• Partner with pricing, underwriting, actuarial, data, and analytics teams.
• Communicate outputs and recommendations to technical and non-technical audiences.

Skills

Predictive modeling

领导 Data Scientists

Statistical modeling

Experiment design

Communication

Education

Bachelor's or advanced degree in Statistics or related

Tools

Python

SQL

Spark

ML frameworks

Job description

Responsibilities

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

At The Cigna Group, you’ll enjoy a 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. We also offer 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.

For this position, we anticipate offering an annual salary of 149,100 - 248,500 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

The Cigna Group has a tobacco‑free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.