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