Data Scientist (Insurance) - Remote

Overview

The Data Scientist (Insurance, Risk Modeling) plays a hybrid role that bridges technical model development with actuarial applications, helping insurance companies unlock the value of Nearmap's AI-driven data.

In Short

• Develop and refine risk models using Nearmap AI data.
• Provide actuarial expertise to ensure models are statistically robust.
• Support insurance clients through retro tests and model integration.
• Build and curate Nearmap's database of policy and loss data.
• Conduct validation studies and sensitivity analyses.
• Develop customer-facing materials and presentations.
• Collaborate with actuaries and data scientists at insurance companies.
• Assist in regulatory activities and compliance.
• Utilize scientific Python libraries for analysis.
• Communicate technical findings to insurance customers.

Requirements

• Postgraduate qualifications in data science, statistics, or actuarial studies.
• Minimum of 2 years experience in property/casualty insurance.
• Strong grasp of data science fundamentals and SQL.
• Ability to code in Python using libraries like NumPy and Pandas.
• Excellent communication skills for client-facing roles.
• Familiarity with regulatory requirements for insurance rating models.
• Experience with geospatial data science is a plus.
• Attention to detail and organizational skills.
• Collaboration and teamwork mindset.
• Experience in a commercial environment with shared code-bases.

Benefits

• Quarterly wellbeing days off.
• Company-sponsored volunteering days.
• Generous parental leave policies.
• Access to LinkedIn Learning for continuous growth.
• Discounted Health Insurance plans.
• Monthly technology allowance.
• Annual flu vaccinations and skin checks.
• A Nearmap subscription.