Full-Time Data Scientist (Insurance, Risk Modeling)

Nearmap is hiring a remote Full-Time Data Scientist (Insurance, Risk Modeling). The career level for this job opening is Experienced and is accepting Carlsbad, CA based applicants remotely. Read complete job description before applying.

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Nearmap

Job Title

Data Scientist (Insurance, Risk Modeling)

Posted

Career Level

Full-Time

Career Level

Experienced

Locations Accepted

Carlsbad, CA

Job Details

The Insurance AI team designs, develops, and supports products that use Nearmap and third-party data to derive insurance risk insights.
The Data Scientist (Insurance, Risk Modeling) plays a hybrid role bridging technical model development with actuarial applications.
This role combines developing/refining risk models and providing actuarial expertise.
The Data Scientist contributes to model development efforts and supports insurance company clients.
A core aspect will be to build/curate Nearmap's database of policy and loss data through partnership with insurers.
A portion will be to liaise directly with actuaries/data scientists at insurance companies to support their testing/integration of Nearmap AI data.
The Data Scientist will develop materials/analyses to demonstrate/quantify the value of products for insurance customers.
Skills & Experience:
  • Hybrid Model Development: Contribute to the development/refinement of risk models.
  • Actuarial Support: Serve as technical liaison to actuaries/data scientists.
  • Claims database: Create, curate and grow Nearmap’s internal policy and loss database.
  • Regulatory support: Support regulatory activities.
  • Validation: Conduct detailed validation studies.
Mandatory:
Data Scientist Level, plus formal postgraduate qualifications in data science, statistics, actuarial studies or other relevant field, plus a minimum of 2 years practical working experience in property/casualty insurance in a data science or actuarial role.
  • Domain Knowledge: property/casualty insurance pricing, rating and regulatory requirements
  • Data Science: Strong grasp of data science fundamentals
  • Programming/Tech Environments: Ability to code in scientific python
  • Communication: Excellent communication skills and experience in client-facing roles
  • Scientific Approach: Follows the scientific method
  • Data / ML Engineering: Familiarity with data and/or ML engineering tools and practices

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Data Scientist (Insurance, Risk Modeling) at Nearmap is 15th of August 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Carlsbad, CA ] applicants. .

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