Senior Data Scientist

Nearmap • Carlsbad, CA

8h • Remote

About The Position

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward. Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world. 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.

Requirements

• 5+ years of practical experience in property/casualty insurance in a data science or actuarial role, with a strong track record of delivering models and analytics in production environments.
• Proven leadership in complex modeling projects from ideation through deployment.
• Experience advising senior insurance stakeholders and influencing strategic decision-making.
• Domain Knowledge: Deep expertise in property/casualty insurance pricing, rating, and regulatory requirements; mastery of actuarial data and modeling (Tweedie distributed data, GLMs, GBMs) and advanced statistical concepts (e.g., variable selection, overfitting, fairness testing, Gini, lift, AUC, cross-validation, sensitivity analysis).
• Data Science: Advanced capability in feature engineering, model validation, uncertainty quantification, and statistical testing; fluency in SQL for data extraction/manipulation.
• Programming: Expert in Python (NumPy, Pandas, Scikit-learn, Matplotlib) and git-based workflows.
• Communication: Exceptional ability to translate technical findings into actionable business insights for executive-level audiences.
• Data/ML Engineering: Familiarity with scalable pipelines, MLOps practices, and production deployments

Nice To Haves

• Experience with geospatial and imagery data (GeoPandas or similar).
• Prior experience integrating AI-derived datasets into insurer pricing and underwriting workflows.

Responsibilities

• 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.
• 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.
• Spearhead efforts to grow and optimize Nearmap’s proprietary policy and loss database for product and modeling innovation.
• 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.
• Mentor junior team members on best practices in modeling, data analysis, and insurance-specific applications.

Benefits

• Quarterly wellbeing day off - Four additional days off a year as your "YOU" days
• Company-sponsored volunteering days to give back.
• Generous parental leave policies for growing families.
• Access to LinkedIn Learning for continuous growth.
• Discounted Health Insurance plans.
• Monthly technology allowance.
• Annual flu vaccinations and skin checks.
• Hybrid flexibility
• A Nearmap subscription (naturally!).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees