Data Science Senior Advisor; Pricing & Underwriting - Remote

Data Science Senior Advisor (Pricing & Underwriting) – Remote

Join to apply for the Data Science Senior Advisor (Pricing & Underwriting) – Remote role at The Cigna Group.

Using your knowledge of statistics, healthcare, and ML/AI you will build models to help identify opportunities for our pricing and underwriting partners. You will perform feature engineering, model development, and model monitoring/maintenance using a broad range of medical, prescription drug, utilization management, and third‑party data. In this role you will work closely with leadership, data scientists, business stakeholders, and engineering partners to deliver robust, well‑documented deliverables that will enhance our competitive position in the marketplace.

• Contribute to the development of comprehensive analytics that facilitate best‑in‑class pricing and underwriting.
• Execute special projects that can improve Commercial Healthcare underwriting.
• Utilize data science and advanced analytics to create actionable insights and recommendations for business leaders to advance Cigna’s strategic objectives.
• Regularly communicate work with business stakeholders and senior leadership.
• Stay up to date on latest analytic tools and techniques and strategize how to leverage these tools to modernize our pricing/underwriting organizations.
• Ensure solutions drive long‑term value while also ensuring they can integrate with current processes.
• Test & Learn Pilots: collaborate with business leaders to design, launch and measure robust pilots to test new solutions.
• Develop models that foster underwriting and actuarial advancement by aligning business problems to a potential solution like GLMs, machine learning, clustering, LLMs or other advanced techniques.

• 5+ years direct data science experience in a healthcare‑related environment.
• Strong background in statistics, ML and model development.
• Experience deploying ML/predictive models to production/cloud environments.
• Strong skills with Python, SQL, Git, Keras and Tensor Flow.
• Knowledge of common health‑care data such as claims, EHR, laboratory data.
• Experience with best programming practices and writes clean, documented, well‑structured code.
• Ability to peer‑review.
• Champions a culture of documentation and logging.
• Ability to own a project end‑to‑end (scoping, ideation, development, production).
• Ability to independently deliver clear, well‑developed presentations for both technical and business audiences.
• Ability to create data‑science‑specific project goals associated within high‑level project deliverables.
• Ability to articulate timeline changes, rationale, and goals to meet deadlines.
• Preference for MS or PhD in STEM related fields.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber‑optic internet service provider with speeds of at least 10 Mbps download/5 Mbps upload.

For this position, we anticipate offering an annual salary of $127,400 – $212,300 USD/year, depending on relevant factors including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan.

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 and paid holidays.

For more details on our employee benefits programs, .

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…