Job Summary

Cigna is seeking an experienced and strategic Data Science Senior Advisor (Pricing & Underwriting) to support advanced analytics, pricing strategy, and underwriting decision-making across its healthcare and insurance portfolio. This senior-level role is designed for a data science professional who combines deep analytical expertise with strong business acumen to influence pricing accuracy, profitability, and risk management.

The successful candidate will act as a trusted advisor to underwriting, actuarial, and business leadership teams by delivering data-driven insights, developing predictive models, and translating complex analytics into actionable strategies. This role plays a critical part in driving sustainable growth, competitive pricing, and improved financial performance.

Key Responsibilities

• Lead the development and deployment of advanced data science models to support pricing, underwriting, and risk assessment initiatives.

• Analyze large, complex datasets to identify trends, patterns, and opportunities related to cost, utilization, and risk segmentation.

• Partner closely with underwriting, actuarial, finance, and product teams to inform pricing strategies and improve underwriting accuracy.

• Design, validate, and maintain predictive and prescriptive models, including regression, machine learning, and optimization techniques.

• Translate analytical findings into clear, actionable insights for senior leadership and non-technical stakeholders.

• Support strategic initiatives such as new product pricing, portfolio optimization, and profitability improvement.

• Ensure data integrity, model governance, and compliance with regulatory and internal standards.

• Mentor junior data scientists and analysts, providing technical guidance and best practices.

• Continuously evaluate emerging analytics tools, methodologies, and industry trends to enhance capabilities.

Required Skills and Qualifications

• Strong expertise in data science, statistical modeling, and machine learning techniques.

• Proficiency in programming languages such as Python, R, or SQL.

• Experience working with large-scale datasets and data visualization tools (e.g., Tableau, Power BI, or similar).

• Solid understanding of pricing, underwriting, or actuarial concepts within healthcare or insurance environments.

• Ability to communicate complex analytical concepts in a clear, business-focused manner.

• Strong problem-solving skills with a strategic, results-oriented mindset.

• Excellent collaboration and stakeholder management skills.

Experience

• Bachelors degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field (Masters or PhD preferred).

• Typically 7+ years of experience in data science, analytics, pricing, underwriting, or actuarial-related roles.

• Prior experience in healthcare, insurance, financial services, or a highly regulated industry is strongly preferred.

• Demonstrated experience influencing business decisions through data-driven insights.

Working Hours

• Full-time position

• Standard business hours, with flexibility to support cross-functional teams and strategic initiatives

• Remote or hybrid work options may be available depending on business needs and location

Knowledge, Skills, and Abilities

• Deep knowledge of statistical analysis, predictive modeling, and machine learning frameworks.

• Strong understanding of insurance economics, risk assessment, and pricing strategies.

• Ability to manage multiple complex projects simultaneously with minimal supervision.

• High level of attention to detail and commitment to data accuracy and quality.

• Strategic thinking with the ability to anticipate business impacts and risks.

• Strong leadership presence and advisory capability at senior levels.

Benefits

• Competitive salary and performance-based incentives

• Comprehensive medical, dental, and vision coverage

• Retirement savings plans with company matching

• Paid time off, holidays, and wellness programs

• Learning and development opportunities, including certifications and leadership training

• Employee assistance programs and well-being resources

• Flexible work arrangements to support work-life balance

Why Join Cigna

At Cigna, you will be part of a purpose-driven organization committed to improving health and vitality for individuals and communities worldwide. This role offers the opportunity to work on meaningful, high-impact initiatives while collaborating with top-tier professionals in data science, healthcare, and insurance. Cigna fosters a culture of innovation, inclusion, and continuous learning—empowering you to grow your career while making a real difference.

How to Apply

Interested candidates are encouraged to apply through Cignas official careers portal. Please submit your updated resume along with any relevant work samples or portfolio demonstrating your data science and analytics expertise. Qualified applicants will be contacted for further steps in the selection process.