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Senior Data Science Advisor – Pricing & Underwriting

Remote · USA Full-time New today

Job Description:

  • 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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