À propos
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)
Compétences linguistiques
- English
Avis aux utilisateurs
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