Job Description
The sky's not the limit at Nearmap
We’re a SaaS company, with proprietary hardware and software that’s continuously advancing through our commitment to innovation. The sky’s the limit when it comes to what we can and plan to do for our customers. Our imagery is just the starting point. Our impact comes from our people, applying complex analysis, interpretation and artificial intelligence that opens up all sorts of possibilities for our customers.
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 Insurance Data Scientist plays a key role in helping insurance companies unlock the value of Nearmap’s AI-driven data within their pricing, underwriting, modelling, and regulatory workflows. This includes contributing actuarial expertise to ensure that risk and damage classification scores, predictive models, and derived insights are statistically robust, relevant to insurance use cases, and suitable for integration into rating plans, filings, and customer-facing solutions. A core aspect of this role will be to build, curate and grow Nearmap’s own database of policy and loss data through partnership with insurers.
A significant portion of the Insurance Data Scientist’s role will be to liaise directly with actuaries and data scientists at insurance companies to support their testing and integration of Nearmap AI data into their models, workflows and rate filings through retro tests and other ad-hoc analyses. As such, experience working as a data scientist or actuary in the property casualty (P&C) insurance space is critical.
The Insurance Data Scientist will also play a key role in developing materials and analyses to demonstrate and quantify the value of these products for insurance customers and assist in integration and with regulatory requirements.
This role is ideal for a data scientist with a strong actuarial background who is excited to work at the intersection of AI, geospatial data, and insurance — and who is passionate about helping insurers improve their pricing accuracy, operational efficiency, and regulatory outcomes using innovative data sources.
Skills & Experience we are looking for:
Highly desirable:
Formal postgraduate qualifications in data science, statistics or actuarial studies (Masters/PhD, or demonstrated depth of knowledge at that level), plus a minimum of 3 years practical working experience in property/casualty insurance in a data science or actuarial role, and the pragmatic aspects of delivering the project in a way that meets the business goals.
Some of our benefits
Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:
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.
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 Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.
nearmap (us.nearmap.com) is an online mapping service with a history working with small and large organizations across the building and construction, architecture and utility industries as well as local and municipal governments in Australia. The company is now expanding its reach to US audiences.
