Senior Data Science Advisor – Pricing & Underwriting

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🔥 4 hours ago

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The Cigna Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.

📋 Description

• Build models to identify opportunities for pricing and underwriting partners • Perform feature engineering, model development, and model monitoring and maintenance using medical, prescription drug, utilization management, and third-party data • Contribute to comprehensive analytics for pricing and underwriting • Execute special projects to improve Commercial Healthcare underwriting • Create actionable data science and advanced analytics insights and recommendations for business leaders • Communicate work regularly with business stakeholders and senior leadership • Evaluate and leverage current analytic tools and techniques to modernize pricing and underwriting organizations • Ensure solutions drive long-term value and integrate with current processes • Collaborate with business leaders to design, launch, and measure test-and-learn pilots • Develop models using GLMs, machine learning, clustering, LLMs, and other advanced techniques • Deliver robust, well-documented analytical deliverables

🎯 Requirements

• 5+ years of direct Data Science experience in a healthcare-related environment • Strong background in statistics, machine learning, and model development • Experience deploying machine learning or predictive models to production or cloud environments • Strong skills with Python, SQL, Git, Keras, and TensorFlow • Knowledge of healthcare data, including claims, EHR, and laboratory data • Experience with best programming practices and writing clean, documented, well-structured code • Ability to conduct peer reviews • Ability to champion documentation and logging • Ability to own projects end-to-end, including scoping, ideation, development, and production • Ability to independently deliver clear, well-developed presentations for technical and business audiences • Ability to create data-science-specific project goals within high-level project deliverables • Ability to articulate timeline changes, rationale, and goals to meet deadlines • Internet connection through cable broadband or fiber optic service with at least 10 Mbps download and 5 Mbps upload if working at home • Master's or PhD in a STEM-related field preferred

🏖️ Benefits

• Annual bonus plan eligibility • Medical, vision, and dental benefits starting day one • 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 • Leaves of absence • Remote work arrangement