Data Scientist

Verisk; Greater London; On-site; GBP 40,000 - 50,000; Full time

Benefits offered by this job

Medical coverage

Pension plans

Paid time off

Job summary

Verisk Analytics, Inc. is hiring an early-career Data Scientist to join the International Analytics Team.

You will work with real-world insurance data, develop models from concept to production, and explore a range of techniques from supervised learning to language models and AI-driven workflows. Based in London or Norwich, you’ll collaborate with experienced colleagues, receive peer review, and contribute to high‑quality analytical work while growing your technical depth in a global

Qualifications

• Strong analytical foundations and motivation to develop.
• Solid programming skills with Python and SQL.
• Experience working with data: manipulation, cleaning, validation, analysis.
• Exposure to statistical modeling or machine learning.
• Clear written and verbal communication; collaborative mindset.

Responsibilities

• Support the development of analytics products for insurance claims and underwriting.
• Explore complex datasets and turn them into insights; data processing, cleaning, joining sources, feature engineering.
• Build and compare predictive models using GLMs, gradient boosting, RF, neural networks.
• Identify features that provide predictive value and understand their impact on performance.
• Help create, test, and monitor AI workflows that are traceable and production-ready.
• Communicate approaches and findings to technical and non-technical colleagues.
• Participate in peer reviews to maintain high-quality work.

Skills

Python

SQL

Version control

Analytical thinking

Communication

Team collaboration

Education

Bachelor’s/Master’s/PhD in mathematics, statistics, data science, computer science or related

Tools

Python

SQL

Git

Job description

Job Description

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

Job Description

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.

If you’re looking for a Data Scientist role where you can keep learning while building things that have a practical, measurable purpose, we’d like to hear from you.

Responsibilities

• Support the development of new analytics products for insurance claims and underwriting.


• Explore complex datasets and turn them into meaningful insights, including data processing, cleaning, joining multiple data sources, feature engineering, analysis, and interpretation.


• Build and compare predictive models using techniques such as GLMs, gradient boosting, Random Forests, and neural networks.


• Identify the features and factors that provide meaningful predictive value and understand how they influence model performance.


• Help create, test, and monitor agentic AI workflows that are traceable, repeatable, and suitable for real‑world use.


• Work with stakeholders to understand requirements and translate business problems into practical analytical solutions.


• Write clear, reusable, and well‑documented code, using version control and creating functions and templates that can be applied efficiently to future projects.


• Communicate analytical approaches, progress, findings, and recommendations clearly to both technical and non‑technical colleagues.


• Take part in peer reviews, sharing ideas and learning from colleagues while contributing to consistently high‑quality work.

Qualifications

You don’t need to arrive knowing everything about insurance. We’re looking for someone with strong analytical foundations, curiosity, and the motivation to develop.

Ideally, You’ll Bring

• A bachelor's, master's, or PhD in mathematics, statistics, data science, computer science, another scientific discipline, or a related analytical field.


• Solid programming skills, ideally using Python and SQL.


• Experience working with data, including manipulation, cleaning, validation, and analysis.


• Exposure to statistical modeling, machine learning, or other predictive techniques.


• Strong logical and problem‑solving skills, with the ability to approach complex questions in a structured way.


• Good attention to detail and an interest in producing reliable, reproducible analytical work.


• Clear written and verbal communication skills, including the ability to explain technical work to different audiences.


• A collaborative approach and willingness to learn from, and contribute to, the wider team.

About Us

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI‑powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best‑Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture

Explore our inclusive, people‑first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition

See why Verisk is consistently recognized as a Great Place to Work around the world.

Our Businesses

Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk

Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk

Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people‑first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.

Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws. We also foster a work environment focused on well‑being and career development. Additional perks may include wellness initiatives, fitness programs, and team‑building activities.

https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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