• Apply advanced analytics, statistical modeling, and machine learning techniques to support strategic decision-making. • Partner with stakeholders in Underwriting, Actuarial, Claims, Product, Revenue, and Customer Experience. • Develop predictive models and generate actionable insights that support pricing, underwriting, claims management, and operational efficiency. • Collaborate with engineering and product teams to integrate insights into business tools, dashboards, and workflows. • Analyze customer, broker, and operational data to identify trends and optimize performance. • Communicate analytical findings through visualizations, dashboards, and written summaries. • Support MLOps practices, including model versioning and deployment pipelines. • Monitor models for performance degradation, bias, or drift and implement improvements as needed. • Document model assumptions, methodology, and validation processes.