At Verisk, we help the world see new possibilities and inspire change for better tomorrows. Within our Catastrophe & Risk Solutions business, we are the scientific leader in catastrophe modeling—pioneering the industry since 1987 and modeling risk from natural catastrophes, terrorism, and casualty threats across 90 countries.
We are seeking a Data Scientist I to join our Casualty Catastrophe Model team in Boston. This is an exciting opportunity to work at the intersection of data science, probabilistic modeling, insurance analytics, and software‑enabled product development, helping global clients better understand and manage emerging and systemic liability risks.
What You’ll Do
As a member of our research and modeling organization, you’ll contribute across the full model development lifecycle—moving ideas from research and proof‑of‑concept through to production‑ready solutions used by clients around the world.
In this role, you will:
- Develop, enhance, and maintain casualty catastrophe models and analytics for emerging and systemic liability risks
- Conduct mathematical, statistical, and data‑driven analyses to support model design, validation, and testing.
- Translate research prototypes into scalable, production‑ready model components
- Build and improve model development pipelines using Python, SQL, Git, and AWS‑based tools.
- Analyze and synthesize data from multiple sources to support model parameterization, sensitivity testing, and robustness evaluation.
- Collaborate closely with product, software, and client‑facing teams to integrate model methodology into Verisk products.
- Leverage Generative AI and agentic AI tools to accelerate modeling, prototyping, workflow automation, and insight generation.
- Contribute to technical documentation and clearly communicate assumptions, methodology, limitations, and results.
- Support client inquiries by explaining model behavior and outputs in a clear, practical, and accessible way.
- Present analytical findings to both technical and non‑technical audiences.
Required Qualifications
- Bachelor’s or Master’s degree in statistics, mathematics, data science, actuarial science, economics, engineering, computer science, or another quantitative/STEM field
- At least 1 year of professional experience in data science, statistical modeling, risk modeling, or a related technical field
- Strong programming skills in Python and SQL
- Experience using Git‑based development workflows
- Experience working with AWS‑based cloud analytics or data workflows
- Demonstrated ability to take analytical or statistical models from proof‑of‑concept to implementation
- Proven experience using AI‑powered tools to support modeling, prototyping, automation, and productivity improvements
- Strong written and verbal communication skills, with the ability to explain technical ideas to non‑technical audiences
Nice to Have
- Familiarity with casualty or property insurance concepts (preferred but not required)
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.
Verisk Businesses
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
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
Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
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.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
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.
https://www.verisk.com/company/careers/
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