Senior Data Science Advisor – Pricing & Underwriting
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Job Description
Data Science Senior Advisor building models using statistics and ML for pricing and underwriting at Cigna Group. Collaborating with leadership and business stakeholders to enhance competitive positioning.
Responsibilities:
- 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/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
Requirements:
- 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
- Ability to peer review
- 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
- Prefer MS or PhD in STEM related fields
Benefits:
- medical, vision, dental, and well-being and behavioral health programs
- 401(k)
- company paid life insurance
- tuition reimbursement
- minimum of 18 days of paid time off per year
- paid holidays
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