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 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 #J-18808-Ljbffr Jobtailor