Workforce Manager-Workforce Management-Wfm

Job Description: The Forecasting Lead role will lead the development of forecasting models to support optimal planning. The role requires strong statistical and machine learning expertise, with a focus on applying data-driven insights to improve operational efficiency in claims management.

• Responsibilities: Collaborate with business stakeholders to define claim complexity criteria.
• Develop and validate segmentation models to categorize claims into low, medium, and high-touch segments.
• Build forecasting models to predict claim volumes across complexity levels using historical claims data.
• Conduct feature engineering, model testing, and performance tuning.
• Translate model outputs into actionable business insights and support integration with capacity planning workflows.
• Document model methodology, assumptions, and deliverables.
• Work closely with the Data Engineer to ensure data readiness and pipeline efficiency.

• Qualifications: 5+ years of experience in data science or analytics roles.
• Proficiency in Python (Pandas, Scikit-learn, XGBoost, etc.), SQL, and data visualization tools.
• Strong understanding of supervised learning, time-series forecasting, and model evaluation techniques.
• Experience working with operational or insurance claims data is preferred.
• Effective communication and stakeholder engagement skills.