Senior Data Science Advisor – Pricing & Underwriting

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Leveraging your expertise in statistics, healthcare, and ML/AI, you will develop models aimed at uncovering opportunities for our pricing and underwriting teams.

• You will engage in feature engineering, model development, and ongoing model monitoring and maintenance utilizing a diverse array of medical, prescription drug, utilization management, and third-party data.

• In this position, you will collaborate closely with leadership, data scientists, business stakeholders, and engineering partners to deliver comprehensive, well-documented outputs that will strengthen our competitive edge in the market.

• Assist in creating comprehensive analytics that promote top-tier pricing and underwriting practices.

• Implement special projects designed to enhance Commercial Healthcare underwriting capabilities.

• Employ data science and advanced analytics to generate actionable insights and recommendations for business leaders, supporting Cigna's strategic goals.

• Maintain regular communication regarding your work with business stakeholders and senior leadership.

• Keep abreast of the latest analytical tools and techniques, strategizing on how to utilize these tools to modernize our pricing/underwriting organizations.

• Ensure that solutions provide long-term value while also integrating seamlessly with existing processes.

• Test & Learn Pilots: work with business leaders to design, implement, and assess thorough pilots to evaluate new solutions.

• Create models that promote underwriting and actuarial progress by aligning business challenges with potential solutions, such as GLMs, Machine Learning, Clustering, LLMs, or other advanced methodologies.

⛳️ Requirements

• 5+ years of direct experience in Data Science within a healthcare-related setting.

• Strong foundation in statistics, machine learning, and model development.

• Experience in deploying ML/predictive models to production/cloud environments.

• Proficient in Python, SQL, Git, Keras, and TensorFlow.

• Familiarity with common healthcare data, including claims, EHR, and laboratory data.

• Ability to conduct peer reviews.

• Capability to manage a project from start to finish, including scoping, ideation, development, and production.

• Skill in independently delivering clear and well-structured presentations for both technical and business audiences.

• A Master’s or PhD in STEM-related fields is preferred.

🏝️ Benefits

• Medical, vision, dental, and well-being and behavioral health programs.

• 401(k) plan.

• Company-paid life insurance.

• Tuition reimbursement.

• A minimum of 18 days of paid time off annually.

• Paid holidays.