Job Description

About the Role

The Insurance GTM team is helping our customers and prospects solve critical problems within their Rating, Underwriting and Claims workflows. Our Solutions Engineering team serves as the technical counterparts to the Account Executives. Through this partnership, this role will help to understand a customer’s current challenges and desired outcomes through deep discovery and technical understanding. The Pre-Sales Data Scientist will help insurance companies unlock the value of Nearmap's AI-driven data within their pricing, underwriting, modeling, and regulatory workflows through direct engagement with Nearmap customers as they scope, execute and analyze large scale data tests to measure this value.

This role’s key responsibility will be aligning customer data tests to the Nearmap suite of data and software products. You will work closely with customers and prospects to develop success criteria, desired outcomes, and evaluation criteria, this role requires someone with deep technical understanding of data science applications in insurance as well as strong communication skills for client-facing actuarial consultation.

This role will also have dotted line reporting to our Insurance AI team to continue the development and enhancements of our modelling for rating, pricing, underwriting and state filings.

This is a high-impact role at the intersection of cutting-edge AI and insurance transformation:

• Customer impact: Direct influence on carrier decisions worth millions in premiums
• Breadth of exposure: Working across multiple carriers and use cases rather than deep in one company
• Consulting-style variety: New problems, new datasets, new stakeholders
• Technical growth: Exposure to cutting-edge geospatial AI applications in insurance

Key Responsibilities

• Pre-Sale Support: Work closely with prospects & customers to understand their data needs and desired outcomes.
• Data Test/POC: Develop and enhance Nearmap’s current POC process to align on requirements, outcomes and success criteria
• Actuarial Support: Serve as technical liaison to actuaries, data scientists, and pricing teams at insurance companies, supporting their testing, integration, and use of Nearmap data in pricing, underwriting, filings, and retro tests.
• Regulatory support: support customers with their regulatory needs related to using Nearmap AI in rating including drafting objection responses and exhibits documenting Nearmap AI methodology.
• Validation: Conduct detailed validation studies, sensitivity analyses, and scenario testing to demonstrate the accuracy, reliability, and business value of Nearmap models across insurance use cases.
• Develop customer-facing materials, presentations, and quantitative analyses to help insurers understand and incorporate Nearmap data into their actuarial and pricing workflows.
• Cultivate deep knowledge of Nearmap’s data and leverage it to support continual improvement of our models.

Compliance with Nearmap values, policies and standards, and ensure compliance with all local statutory requirements.

• Complies with all local legislative requirements.
• Adheres to company guidelines and the corporate Code of Conduct.
• Where appropriate keeps up to date with legislative requirements.
• Acts in an ethical way when dealing with company assets and other people.

Qualifications

Experience

• Deep understanding of Rating, Underwriting, Claims and Portfolio Management within the P&C carrier space.
• Customer facing experience with revenue responsibilities.
• 5+ years in P&C insurance in data science, actuarial or pricing analytics roles, with demonstrated experience translating technical findings into business recommendations for senior stakeholders.

Skills

Domain Knowledge – property/casualty insurance pricing, rating and regulatory requirements: Experience and comfort building insurance pricing models using property data following traditional actuarial methods (e.g., GLMs); familiarity with regulatory requirements for property/casualty insurance rating models and fluency with related statistical concepts (e.g., variable selection, overfitting, fairness testing, gini, lift, AUC, cross validation, sensitivity analysis, etc.). This includes:

• Experience designing and executing retrospective testing studies (retro tests)
• Familiarity with actuarial validation frameworks and credibility testing
• Ability to work with large property databases and claims histories
• Understanding of GLM interpretation in insurance context (not just building them)

Data Science and Machine Learning: Strong grasp of data science fundamentals (data analysis, feature engineering, modelling frameworks, model validation, confidence intervals, etc.), and facility at data extraction and manipulation using SQL, APIs and Python. Experience with both traditional actuarial methods (GLMs) and tree-based models (GBMs, random forests, XGBoost) for insurance applications, with understanding of when each approach is appropriate for regulatory and business contexts.

Customer First Mentality/Problem Solver: Working closely with customers to deliver an exceptional experience throughout their engagement with Nearmap.

Communication: Excellent communication skills and experience in client-facing roles, with the ability to translate technical findings into measurable and actionable insights for insurance customers.

Highly desirable:

Domain Knowledge – Geospatial Data: working with imagery and/or geospatial data science problems and related technical libraries such as GeoPandas

Personal Attributes:

• Pragmatism: While extensive knowledge of statistical theory is highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.
• Collaboration: We believe data science is a team sport, and are after candidates who can communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
• Technical Skills: A decent base of python is key to a role in the team. Other than that, we're pretty flexible - we know tools are changing rapidly, and will continue to do so for many years to come.
• Attention to detail: Showing attention to detail when it counts is important. Possesses an analytical mind and a strong nose for data issues.
• Organization: Updates tasks in Jira and keeps good notes.
• Complies with responsibilities of working for a private company.

Additional Information

Why you'll love 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.

Nearmap offers:

• 4 extra "YOU" days off each year - take a break, no questions asked!
• Company-sponsored volunteering days to give back.
• Generous parental leave policies for growing families.
• Work from Overseas Policy - explore the world in the approved list of cities while you work!
• Access to LinkedIn Learning for continuous growth.
• Discounted Private Health Insurance plans.
• Monthly wellbeing and technology allowance.
• A Nearmap subscription (naturally!).

Learn More About The Work We Do:

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