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 TensorFlow

• 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