Principle Data Scientist

As the Principal Data Scientist, you will serve as the technical leader for the Predictive Analytics team, helping shape how the organization leverages data, machine learning, and AI to drive business decisions. Working closely with Property & Casualty pricing and underwriting partners, you will identify opportunities where predictive modeling can improve business outcomes and translate complex data into actionable insights.

You will lead the development and deployment of production-ready machine learning solutions, establish best practices around model governance and MLOps, and help advance the organization’s adoption of AI and advanced analytics. This role requires someone who is equally comfortable building models, partnering with business stakeholders, and mentoring team members.

§ Develop, deploy, and monitor predictive models, machine learning solutions, and AI capabilities. § Partner with pricing, underwriting, and business leaders to solve complex business challenges using data. § Build scalable, production-ready analytical solutions using Python, SQL, APIs, and cloud-based platforms. § Establish and enhance MLOps, model governance, and deployment best practices. § Evaluate emerging AI technologies and identify opportunities to create measurable business value. § Provide technical leadership, mentorship, and guidance to the Predictive Analytics team. Influence the future direction of data science and AI capabilities across the organization.

• 8+ years of experience in predictive modeling, machine learning, AI, or production analytics. * Strong Python and SQL skills with experience building production-ready solutions. * Experience deploying models into production and supporting APIs/model services. * Knowledge of MLOps, CI/CD, testing, and model governance. * Experience working across data engineering, modeling, and deployment. * Bachelor’s degree in a quantitative field. Proven ability to build scalable, business-focused data science solutions. * Advanced degree in a quantitative field. * Experience with Databricks, Snowflake, Microsoft Fabric, or similar cloud platforms. * Property & Casualty insurance experience. Experience with Generative AI, NLP, or intelligent automation