Verisk

About the Company

Verisk provides expert data-driven analytic insights that help business, people, and societies become stronger, more resilient, and sustainable.

Since we opened our doors in 1971, we’ve been driven by a passion for using data and insights to make a difference—helping protect people, economies, society, and our planet.

For more than 50 years, we’ve combined our unique data with advanced technologies in new ways to unlock meaningful insights about risk, moving forward to become a global leader in cutting-edge analytics. We’ve stayed at the forefront of developing innovations to help customers manage the risks they face.

Globally, we’re more than 7,500 people strong, all of us on a mission to achieve both profitable outcomes and positive societal impact. Verisk has received U.S. certification from Great Place to Work® for seven consecutive years. Verisk has also earned Great Place to Work certifications in the United Kingdom, Spain, Poland and India. In addition, Verisk was named one of the 2022 Best Workplaces in New York by Fortune magazine and Great Place to Work. In the United Kingdom, Verisk was recognized by Great Place to Work as a Best Workplace for women, tech and well-being. Verisk was also honored on the Best Workplaces lists in the UK, Spain and Málaga.

We’re focused on making the world better, safer, and stronger. Verisk is a member of the UN Global Compact, the world’s largest corporate citizenship and sustainability initiative.

To keep up on the latest Verisk news, follow us on Twitter, Facebook, and YouTube.

Listed Jobs

Company Name

Verisk

Job Title

Data Scientist

Job Description

Job Title: Data Scientist – Automotive Claims & Computer Vision Role Summary Leverage machine learning, computer vision, and generative AI to transform automotive insurance claims and repair workflows. Analyse large, heterogeneous datasets, develop interpretable predictive models, and deliver production‑ready solutions that enhance product efficiency and innovation. Expectations - Produce high‑accuracy, interpretable models that drive measurable impact on claims processes. - Collaborate with cross‑functional teams to translate business needs into analytical solutions. - Mentor junior analysts and contribute to the organization’s analytics community. Key Responsibilities - Design, develop, and validate computer vision models for vehicle assessment and damage detection. - Build predictive models to forecast claim outcomes, repair costs, and adjuster workflows. - Clean, feature‑engineer, and integrate data from insurance claims, vehicle diagnostics, and repair records. - Evaluate model performance, conduct bias and fairness checks, and ensure scalability for production. - Deploy models into production pipelines using Python, SQL/NoSQL databases, and cloud services. - Create documentation, visualisations, and reports for stakeholders. - Stay current with emerging AI techniques (e.g., generative AI) and recommend their application. Required Skills - Strong programming in Python; proficiency with SQL/NoSQL (Hadoop, MongoDB, Neo4j). - Expertise in machine learning frameworks (PyTorch, TensorFlow) and computer vision libraries (OpenCV). - Experience with generative AI tools and techniques is a plus. - Data wrangling, feature engineering, and model evaluation skills. - Ability to communicate complex findings to technical and non‑technical audiences. - Problem‑solving mindset and collaboration across business, product, and engineering functions. Required Education & Certifications - Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering) with >2 years of relevant experience, **or** PhD with 0–2 years of industry experience. - Familiarity with automotive, claims, or insurance technology is a desirable asset. - No specific professional certifications required.

London, United kingdom

Hybrid

Junior

24-11-2025