Job Overview
Location
6 Locations
Job Type
Full-time
Category
Data Science
Date Posted
May 27, 2026
Full Job Description
📋 Description
- • Lead the design and delivery of advanced medical cost forecasting solutions to improve claim reserving and enterprise financial forecasting accuracy.
- • Prototype and validate new analytical approaches using time series modeling, simulation, and machine learning techniques tailored to healthcare cost trends.
- • Develop diagnostics and performance metrics to evaluate forecast accuracy and identify key drivers of medical cost variability.
- • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable data science solutions.
- • Communicate complex analytical findings through clear presentations, visualizations, and technical documentation to support executive and operational decision-making.
- • Build early-warning analytics systems to detect emerging cost trends and potential financial risks in medical claims data.
- • Collaborate with data engineering and product teams to ensure scalable, reproducible, and interpretable forecasting models are deployed into production.
- • Contribute to model governance, monitoring, and continuous improvement processes to maintain model integrity and regulatory compliance.
- • Mentor junior data science team members and promote best practices in statistical modeling, code quality, and analytical rigor across the data science community.
- • Work with large-scale healthcare datasets using platforms such as Databricks and Spark to extract insights and build predictive models.
- • Ensure all analytical solutions align with organizational goals for financial stability, cost predictability, and strategic planning in healthcare delivery.
- • Maintain rigorous documentation of model assumptions, data sources, and methodology to support audit readiness and cross-functional transparency.
- • Apply statistical and machine learning techniques to model medical cost trends under varying scenarios and external market conditions.
- • Translate business constraints and financial objectives into technical requirements for forecasting model development.
- • Support the integration of forecasting outputs into broader enterprise financial planning and budgeting cycles.
🎯 Requirements
- • 5+ years of experience in data science, analytics, or a related field
- • Strong proficiency in Python, SQL, machine learning, and statistical modeling
- • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling
- • Experience working with large datasets using platforms such as Databricks or Spark
- • Ability to communicate complex analytical concepts to technical and business audiences
- • Experience partnering cross-functionally to deliver data-driven solutions
🏖️ Benefits
- • Annual salary range of $131,200 - $218,600 USD
- • Eligibility to participate in an annual bonus plan
- • Medical, vision, dental, and well-being/behavioral health programs starting on day one
- • 401(k) plan with company contribution
- • Company-paid life insurance
- • Tuition reimbursement
- • Minimum of 18 days of paid time off per year
- • Paid holidays
- • Internet connection requirement: cable broadband or fiber optic with minimum 10Mbps download/5Mbps upload for remote work
Skills & Technologies
Python
Fiber
Apache Spark
Senior
Onsite
About The Cigna Group
The Cigna Group is a global health services company formed in 1982 through the merger of Connecticut General and INA Corporation. It provides medical, dental, disability, life and accident insurance, pharmacy benefit management, and behavioral health services to employers, individuals and government entities. Headquartered in Bloomfield, Connecticut, the company operates in over 30 countries and jurisdictions, serving more than 180 million customer relationships worldwide through its subsidiaries and affiliates.
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