Cigna is looking to improve its pricing and underwriting capabilities in the healthcare market by leveraging machine learning and advanced analytics to identify opportunities and create actionable insights for business leaders.
Requirements
- 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
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
- 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
- Test & Learn Pilots: collaborate with business leaders to design, launch and measure robust pilots to test new solutions
- 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
Other
- 5+ years direct Data Science experience in a healthcare related environment
- Prefer MS or PhD in STEM related fields
- 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
