Website Nearmap
Nearmap
Company : Nearmap
Job Description
Job Location: This is a remote position, with preference given to candidates based in the NYC metropolitan area and/or Southern CA
The 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 Responsibilities
- Technical Leadership in Model Development
- Lead 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 Expertise
- Serve 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 Development
- Spearhead efforts to grow and optimize Nearmap’s proprietary policy and loss database for product and modeling innovation.
4. Client Engagement & Solution Integration
- Lead 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 & Mentorship
- Mentor junior team members on best practices in modeling, data analysis, and insurance-specific applications.