We are seeking a Data Scientist to join our Casualty Catastrophe Model (CCM) team in Boston or Jersey City. In this role, you will help design and deliver analytical models that assess emerging and systemic liability risks, translating complex research into scalable, production‑ready solutions used by global clients. You will work across the full model lifecycle—from early-stage mathematical and statistical research to implementation within Verisk products—partnering closely with research peers, software engineers, and product teams. This is a hands‑on, highly collaborative role that blends data science, probabilistic modeling, and applied analytics with real business impact. If you enjoy solving ambiguous problems, building robust analytical systems, and explaining complex ideas clearly to diverse audiences, this role offers the opportunity to make a meaningful contribution in a growing and mission‑critical modeling space. 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, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, 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.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees