Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Verisk
Norwich
1 day ago
Create job alert

Data Scientist – Automotive Claims & Computer Vision at Verisk


Verisk is a global leader that empowers insurers with advanced analytics, data science, and AI to make smarter decisions. Our mission is to help insurers understand risk, increase efficiency, and better serve their customers by delivering solutions that span underwriting, rating, claims, and catastrophe modeling.


We have more than 8,000 employees worldwide and a culture of innovation, integrity, and collaboration. Working at Verisk means being part of a team that reimagines what’s possible in insurance and where your work truly matters.


Responsibilities

  • Develop analytic solutions using Computer Vision, Predictive Modeling, and Generative AI to improve claims workflows and vehicle 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 community of data scientists.

Qualifications

  • Master degree with more than 2 years of experience, or PhD with 0–2 years in a quantitative field.
  • Strong programming skills in Python and familiarity with SQL/NoSQL databases (e.g., Hadoop, MongoDB, Neo4j).
  • Proven experience in Machine Learning and Computer Vision.
  • Experience with insurance tech, vehicle diagnostics, or repair estimation tools.
  • Familiarity with tools like PyTorch, TensorFlow, OpenCV.
  • Excellent problem‑solving and communication skills.
  • A background in automotive, claims, or auto repair—an additional asset.

We offer a hybrid model with two days per week in the office, based in Newcastle, Norwich, or London.


About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry, delivering value through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.


Verisk provides solutions across underwriting, claims, property estimating, catastrophe and risk, specialty business, marketing, life insurance, and sustainability through Verisk Maplecroft. We are proud recipients of Great Place to Work®, The Wall Street Journal’s Best‑Managed Companies, and Forbes’ Best Employer awards.


Verisk Analytics is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran status, age, or disability. Verisk’s minimum hiring age is 18 except where local law requires a higher age limit. Verify eligibility at https://www.verisk.com/company/careers/.


Unsolicited resumes sent to Verisk will be considered Verisk property. Verisk will not pay a placement fee for any resulting employment.


Verisk Employee Privacy Notice: For additional details, review our privacy notice and data practices in accordance with applicable regulations.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.