Data Scientist

Verisk is a global data, analytics, and technology company helping organizations make better decisions about risk.

Across the insurance industry, our data, predictive models, and technology support decisions throughout the insurance lifecycle, from underwriting and pricing to claims management and fraud detection. We work with complex, high-value datasets including weather, property, business, financial, claims, policy, medical, imagery, and geodemographic data.

Within Verisk Claims UK, we focus on helping insurers improve how claims are assessed, managed, and resolved. Our analytics and automation solutions help streamline claims processes, identify fraud, and support better outcomes for insurers and their customers.

About the role

We’re looking for an early-career Data Scientist to join our International Analytics Team and help build the next generation of analytics products across claims and underwriting.

This is a role where you can do more than develop models in isolation. You’ll work with real-world insurance data, explore complex problems, test different approaches, and help take models from initial idea through to production.

The work is varied. Depending on the project, you could be developing supervised machine learning models, exploring clustering techniques, working with language models or network analysis, or contributing to AI solutions involving automated document processing, agentic decision-making workflows, and claims analysis and auditing.

You’ll have room to experiment, learn, and build your technical depth while working alongside experienced colleagues who value peer review, knowledge sharing, and high-quality analytical work.

For someone at the beginning of their data science career, this is an opportunity to develop broad, practical experience within a global organization while seeing the real-world impact of your work.

This position can be based in our offices in London or Norwich.

Why join Verisk Claims?

This role offers the combination of technical variety, meaningful data, and long-term career development that can be difficult to find in an early-career data science position.

You’ll be working on products that support real decisions across the insurance industry, with access to diverse datasets and opportunities to apply both established modeling techniques and newer areas of AI.

You’ll also have the scale and stability of Verisk behind you, alongside the opportunity to take genuine ownership of your work, develop your technical expertise, and understand how high-quality data science moves from experimentation into products used by the industry.

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