Senior Data Science Advisor – Pricing & Underwriting
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
• 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