Senior Advisor, Data Science – Medical Cost Trend & Forecasting

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

• 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