P&C Data Scientist II role supporting model development, portfolio insight, and end-to-end analytical execution within a high-impact insurance environment. Develop and refine pricing models using statistical and machine learning techniques to enhance risk segmentation, rate adequacy, and portfolio optimization. Collaborate cross-functionally to translate business needs into scalable analytical solutions and supports implementation into pricing workflows, communicating actionable insights to stakeholders. Relevant B.S./M.S. degree required along with 2 4 years experience in data science, analytics, or P&C insurance pricing. Proficiency in SQL, Python, or R and experience working with large, complex datasets needed.