Data Scientist I
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About this role
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.
Responsibilities
What You’ll Do
As a member of the Casualty Catastrophe Model team, you will:
- Develop and enhance casualty catastrophe models and analytics addressing systemic and emerging liability risks
- Conduct statistical, mathematical, and data‑driven proof‑of‑concept analyses to inform model design and validation
- Translate research prototypes into scalable model components for production use
- Partner closely with product and software teams to implement model methodology into Verisk workflows
- Build and maintain model development pipelines using Python, SQL, Git, and AWS
- Analyze data from multiple sources to support model parameterization, testing, and improvement
- Perform validation, sensitivity testing, and robustness analyses
- Contribute to clear technical documentation outlining assumptions, methodology, and limitations
- Support client inquiries by explaining model behavior and results in a practical, accessible way
- Communicate technical findings to both technical and non‑technical audiences
- Stay current on advances in data science, modeling, and insurance analytics
Qualifications
What We’re Looking For
You’ll be successful in this role if you bring:
- A Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, mathematics, data science, actuarial science, economics, engineering, computer science)
- Professional experience in data science, statistical modeling, risk modeling, or a related field
- Strong programming skills in Python, plus experience with R and SQL
- Familiarity with Git‑based development workflows
- Experience using AWS or cloud‑based analytics environments
- The ability to take models from concept to implementation
- Strong analytical thinking, curiosity, and comfort working on complex, open‑ended problems
- Clear written and verbal communication skills, including explaining technical ideas to non‑technical audiences
- Strong organization, documentation, and collaboration skills
Knowledge of casualty or property insurance is helpful but not required—we’re excited to teach the domain to strong quantitative thinkers.
Company
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/
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.