Newcastle Upon Tyne, Tyne and Wear, United Kingdom
Job Description
Senior Data Scientist – Automotive Claims & Computer Vision
At Verisk, we’re laser-focused on advanced insurance technology — helping our partners make smarter decisions through data, analytics, and AI. 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.
With more than 8,000 employees worldwide, Verisk is built on a culture of innovation, integrity, and collaboration. We empower our teams to think differently, challenge the status quo, and create tools that shape the future of insurance. When you join Verisk, you’re joining a company that’s reimagining what’s possible in insurance - and where your work truly matters.
Verisk is seeking a Data Scientist II to help revolutionize the automotive claims and repair industry through advanced analytics, machine learning, and computer vision. If you bring deep domain knowledge in automotive, claims, or insurance—and you're excited to apply cutting-edge technology to real-world problems—this role is for you.
Responsibilities
What You’ll Do
- 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 vibrant analytics community.
Qualifications
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
About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companiesand by Forbesas a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
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.
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.
- Job Category Data Science and Business Intelligence
- Posting Date 10/30/2025, 05:05 PM
- Job Schedule Full time
- Locations Newcastle Upon Tyne, Tyne and Wear, United Kingdom
- STI Yes
- LTI No
- Commission No
- Work Arrangement Hybrid
- Division Claims Solutions
- Legal Employer Insurance Services Office, Inc.
#J-18808-Ljbffr
