The Cigna Group
Healthcare
SeniorAdvisor,DataScience–MedicalCostTrend&Forecasting
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“Senior Advisor, Data Science – Medical Cost Trend & Forecasting at The Cigna Group. Skills: Data Science, Forecasting, Machine Learning, Statistical Modeling. Lead the design and delivery of advanced medical. Prototype and validate new analytical approaches”
What You'll Achieve.
Improve claim reserving; Improve enterprise financial forecasting; Strengthen predictability; Strengthen stability
Industry & Context.
Analytical approaches
What They're Looking For.
Must Have
5+ years of experience in data science, Proficiency in Python, Proficiency in SQL, Proficiency in machine learning, Proficiency in statistical modeling, Hands-on experience with forecasting techniques, Experience working with large datasets, Ability to communicate complex analytical concepts
Nice to Have
Experience in healthcare payer analytics, Experience with anomaly detection, Experience with advanced statistical techniques, Knowledge of model lifecycle management, Knowledge of best practices for reproducible research, Demonstrated ability to mentor junior team members
What You'll Do.
Lead the design and delivery of advanced medical
Prototype and validate new analytical approaches
Create diagnostics and performance measures
Evaluate forecast accuracy
Explain key cost drivers
Translate forecasting needs into actionable analytics solutions
Communicate findings through clear insights
Communicate findings through presentations
Communicate findings through technical documentation
Develop early-warning analytics
Identify emerging cost trends
Identify emerging cost risks
Collaborate with data engineering teams
Collaborate with product teams
Ensure scalable solutions
Ensure interpretable solutions
Contribute to model monitoring
Contribute to model governance
Contribute to continuous improvement processes
Mentor junior team members
Share best practices across the data science community
How You'll Work.
Team & Collaboration
Cross-functional partners; Finance teams; Actuarial teams; Business teams; Data engineering teams; Product teams
Communication Scope
Clear insights; Presentations; Technical documentation
Full Job Description
Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business. **Responsibilities** * Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting * Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning * Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers * Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions * Communicate findings through clear insights, presentations, and technical documentation to support decision-making * Develop early-warning analytics to identify emerging cost trends and risks * Collaborate with data engineering and product teams to ensure scalable and interpretable solutions * Contribute to model monitoring, governance, and continuous improvement processes * Mentor junior team members and share best practices across the data science community **Qualifications** **Required Qualifications** * 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 **Preferred Qualifications** * Experience in hea
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