Data Scientist I

Description

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.