Description
As a Data Scientist in our Healthcare Pricing and Underwriting team, you will leverage your expertise in statistics, healthcare, and machine learning to develop models that help identify opportunities for our pricing and underwriting partners.
You will work closely with leadership, data scientists, business stakeholders, and engineering partners to deliver robust, well-documented solutions that enhance our competitive position in the market.
Responsibilities:
- Contribute to the development of comprehensive analytics that facilitate best-in-class pricing and underwriting
- Execute special projects to 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 the 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
- 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 potential solutions like GLMs, Machine Learning, Clustering, LLMs, or other advanced techniques
Qualifications:
- 5+ years of direct Data Science experience in a healthcare-related environment
- Strong background in statistics, machine learning, and model development
- Experience deploying ML/predictive models to production/cloud environments
- Strong skills with Python, SQL, Git, Keras, and TensorFlow
- Knowledge of common healthcare data, such as claims, EHR, and laboratory data
- Experience with best programming practices and writing clean, documented, and well-structured code
- Ability to peer review and champion a culture of documentation and logging
- Ability to own a project end-to-end, including scoping, ideation, development, and production
- Ability to independently deliver clear and well-developed presentations for both technical and business audiences
- Ability to create DS-specific project goals associated with high-level project deliverables
- Ability to articulate timeline changes, rationale, and goals to meet deadlines moving forward
- Preferably, a Master's or Ph.D. in a STEM-related field
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