Data Science Director (Precision Trend R&D) - Remote

The Cigna Group • Bloomfield, CT

14h • Remote

About The Position

As the Data Science Director for Precision Trend R&D, you will be the technical and strategic driver behind this transformation. You will architect and implement next‑generation analytics that augment actuarial rigor, improve reserve accuracy, accelerate speed‑to‑insight for FP&A, and surface emerging cost pressures earlier than ever before. Your work will directly influence enterprise‑level decisions and strengthen financial predictability for our clients, regulators, and business partners.
As healthcare dynamics shift rapidly—including clinical innovation, utilization pattern changes, AI‑driven billing behavior, and evolving provider economics, traditional actuarial methods are increasingly challenged in their ability to deliver precision, speed, and predictability. We now have an unprecedented opportunity to reimagine how the enterprise predicts and manages medical risk cost, claim reserves, trend projections and financial forecasts.
This role sits at the intersection of deep technical mastery, enterprise leadership, and multi-domain influence. The work you lead will be visible to senior and business leadership and will materially shape how the organization measures, interprets, and manages financial risk.

Requirements

• 10+ years' of progressive experience in Data Science with a focus on Healthcare highly desirable
• Expert proficiency in Python, R, SQL, Git, cloud-based ML development, and experience with big data platforms (Databricks, Spark)
• Proven experience in applying statistical methods, machine learning and NLP models to complex datasets
• Expertise in techniques such as regression, decision trees, boosting algorithms, neural networks, clustering, and anomaly detection
• Familiarity with healthcare payer data and actuarial applications
• Experience with dashboarding and visualization tools (Tableau, Power BI)
• Excellent communication skills with the ability to present to senior and business leadership
• Strong leadership and experience with mentoring and developing data science talent
• Advanced degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience is highly desirable

Responsibilities

• Leadership in Data Science: Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections
• Innovation & Experimentation: Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns
• Technical Expertise: Maintain deep technical fluency in Data Science and Analytics technologies and best practices
• Cross-Functional Collaboration: Partner with Actuarial, Finance, Clinical, and Data & Analytics teams to co-create solutions that integrate seamlessly into actuarial workflows
• Communication: communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies
• Governance: Ensure models meet ASOP rigor and model lifecycle governance standards, including documentation, validation, back-testing, monitoring and audit readiness
• Leadership: Manage and mentor the Data Science Senior Advisor, fostering a culture of curiosity, innovation, and disciplined delivery

Benefits

• Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs.
• We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Director