Senior Data Scientist

Verisk
Newcastle upon Tyne
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.


Job Description
Senior Data Scientist - Automotive Claims & Computer Vision

At Verisk, we're laser-focused on the insurance industry - helping our partners make smarter decisions through data, analytics, and technology. As a trusted global leader, we provide the insights that power nearly every stage of the insurance lifecycle, from underwriting and rating to claims and catastrophe modelling.


Our mission is simple: to help insurers understand risk, improve efficiency, and better serve their customers. We combine decades of industry expertise with advanced analytics and cutting-edge technology to deliver solutions that make insurance more transparent, fair, and resilient.


Responsibilities

  • Develop analytic solutions using Computer Vision, Predictive Modeling, and Generative AI to improve claims workflows and vehicle damage assessment.
  • Work with rich datasets including insurance claims, vehicle diagnostics, and repair records.
  • Deliver solutions that are accurate, interpretable, and impactful - enhancing products, streamlining processes, and driving innovation.
  • Mentor analytic interns and contribute to Verisk's vibrant analytics community.

What You'll Bring

  • Strong programming skills in Python and familiarity with SQL/NoSQL databases (e.g., Hadoop, MongoDB, Neo4j).
  • Proven experience in Machine Learning and Computer Vision.
  • A background in automotive, claims, or auto repair - or a strong understanding of how vehicles are assessed and processed in insurance workflows.
  • Experience with insurance tech, vehicle diagnostics, or repair estimation tools.
  • Familiarity with tools like PyTorch, TensorFlow, OpenCV.
  • Excellent problem-solving and communication skills.

Qualifications

Bachelor's degree with 5-8 years of experience, Master's with 3-5 years, or PhD with 0-2 years in a quantitative field.


#LI-Hybrid


Equal Opportunity Employer

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.