LeadActuarialDataScientist

**About the Role:** As Lead Actuarial Data Scientist you will serve as a senior technical leader responsible for advancing pricing sophistication across personal lines products, with a focus on auto and homeowners. You will lead the development, enhancement, and oversight of pricing models and rating plan analytics, bringing deep expertise in personal lines pricing, generalized linear models, and modern machine learning techniques. This role requires strong command of rating plan architecture, risk segmentation, and predictive modeling, along with the ability to translate complex analytics into pricing and product decisions. You will partner closely with Product, Underwriting, Data Science/Engineering, and other cross-functional teams to shape and enhance our pricing strategy to better serve the membership. **What You’ll Do:** * Lead the end-to-end design, development, and implementation of new and innovative rating plans for personal auto and home insurance products. * Build and refine pricing models using GLMs, GBMs, and other ML techniques to sharpen risk segmentation and deliver competitive price accuracy. * Drive feature engineering efforts and identify, evaluate, and integrate external data sources to enhance model performance and predictive power. * Design and build efficient, scalable, and repeatable processes for model development, data pipelines, and rating plan deployment. * Own the technical documentation, validation, and peer review of rating plan changes to ensure accuracy and compliance. * Partner closely with Product, Data Science, Engineering, Underwriting, and other business and analytical teams to develop and implement changes. * Mentor and provide technical guidance to junior actuaries and data scientists, fostering a collaborative and high performance team culture. **What You 'll Need: ** * Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, or a related field; FCAS or ACAS designation a plus. * 8+ year