Data Science Senior Advisor; Pricing & Underwriting - Remote
Greensboro, Guilford County, North Carolina, 27401, USA
Listed on 2026-06-24
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IT/Tech
Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Summary
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.
Responsibilities
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/UW 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
Qualifications:
5+ years direct Data Science experience in a healthcare related environment
Strong background in stats, ML and model development
Experience deploying ML/predictive models to prod/cloud env't
Strong skills with Python, SQL, Git, Keras and Tensor Flow
Knowledge of common health care data e.g., claims, EHR, laboratory data
Experience with best programming practices and writes clean, documented, and well-structured code
Ability to peer review
Champions a culture of documentation and logging
Ability to own a project end-to-end e.g., scoping, ideation, dev, prod
Ability to independently deliver clear and well developed presentations for both technical and business audiences
Ability to create DS-specific project goals associated within high level project deliverables
Ability to articulate timeline changes, rationale, and goals to meet deadlines moving forward
Prefer MS or PhD in STEM related fields
Mbps download/5
Mbps upload.
For this position, we anticipate offering an annual salary of 131, 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.
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, .
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.#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).