Description
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.
Responsibilities
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.
Qualifications
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)
hackajob is partnering with Verisk Analytics to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
