Job Location: This is a remote position, with preference given to candidates based in the NYC metropolitan area and/or Southern CAThe Insurance AI team conducts technical work to design, develop and support products that use Nearmap and third-party data to derive insurance risk insights. The Senior Data Scientist plays a pivotal role in designing, developing, and operationalizing advanced risk models that leverage Nearmap’s AI data and third-party sources to deliver actionable insurance risk insights. This role bridges cutting-edge technical model development with actuarial applications, helping insurance companies integrate Nearmap’s AI-driven intelligence into pricing, underwriting, modeling, and regulatory workflows.As a senior member of the Insurance AI team, you will:Lead modeling initiatives from conception through deployment.Serve as a trusted technical and domain expert for both internal teams and external clients.Drive innovation in how Nearmap’s data is applied within insurance products and workflows.Provide strategic actuarial and statistical guidance to ensure models meet both technical rigor and practical business needs.This role requires the ability to seamlessly transition between in-depth technical work, high-level solution design, and client-facing consulting with senior insurance stakeholders. As such, deep experience working as a data scientist or actuary training and evaluating models in the property casualty (P&C) insurance space is critical.Key ResponsibilitiesTechnical Leadership in Model DevelopmentLead the design, development, and refinement of insurance risk models using Nearmap AI data and other sources.Conduct exploratory data analysis, advanced feature engineering, model selection, training, validation, and performance optimization.Guide the integration of geospatial, property, and external datasets into scalable, production-ready solutions.2. Actuarial & Regulatory ExpertiseServe as a senior technical liaison to actuarial, data science, and pricing teams at insurance companies, ensuring successful adoption of Nearmap data in their workflows.Advise on and prepare regulatory filing materials, respond to objections, and ensure models meet compliance standards for property/casualty insurance.3. Strategic Data Asset DevelopmentSpearhead efforts to grow and optimize Nearmap’s proprietary policy and loss database for product and modeling innovation.4. Client Engagement & Solution IntegrationLead high-impact retro tests, validation studies, and custom analyses for top-tier insurance clients.Translate complex technical results into strategic business recommendations for senior decision-makers.5. Thought Leadership & MentorshipMentor junior team members on best practices in modeling, data analysis, and insurance-specific applications.