Senior Data Scientist

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

1. 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.

Key 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.

Required:

• 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

Highly Desirable:

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

Some of our benefits

Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:

• 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!).

Working at Nearmap

We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.
Watch some of our videos and find out more about what a day in the life at Nearmap looks like.

https://youtu.be/WSMYfAEdAe4

https://youtu.be/ZEGdSLWdrH0

https://youtu.be/JuHBJk2uuD8

https://youtu.be/8mSSG6uICW0

To hear an interview with Brett Tully, Director of AI Output Systems on the Super Data Science podcast, click this link: https://www.superdatascience.com/533

Mapscaping podcast: https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale

Read the product documentation for Nearmap AI:https://docs.nearmap.com/display/ND/NEARMAP+AI

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