Hacker Careers logo
UR

United Risk is hiring a
Data Scientist

About United Risk

United Risk is a global property and casualty insurance underwriting and distribution platform, with practices from surety to aviation to fine art. Our in-house AI team builds the tools that make specialist underwriters quicker and smarter: submission ingestion, underwriting workbenches, risk analysis and back-office automation.

Job Description

Note: There are 10 openings across the three roles described in this posting. Data Science: pipelines, models and RAG/document Q&A that turn submissions, policies and loss runs into risk insight; a grounding in statistics. All roles: 0–4 years of experience (internships and co-ops count; new grads welcome). Start dates from December 2026. Hybrid: in-office at Rockefeller Center, NYC; live within commuting distance of NY/NJ/CT. Stack: Python, SQL Server, Azure AI services (incl. Document Intelligence), Claude and OpenAI APIs, self-hosted models on our own GPUs.

Remote Conditions

Hybrid: in-office 2 days/week at Rockefeller Center, NYC; commuting distance within NY/NJ/CT.

Location

New York, NY

Salary

100K

 to 

120K

Benefits

100% employer-paid medical, dental, and vision insurance for employees; 401(k) with 4% company match; PTO; life, disability, critical illness and accident insurance; EAP; FSAs; tuition reimbursement; fitness reimbursement.

Tech Tags

Date Listed

02 November, 2026 (about 7 hours ago)

Share this job

United Risk has 2 other jobs listed

Hiring engineers?

Reach thousands of tech candidates from the Hacker News community.

Post a Job — $99

Similar Jobs

No tags
📍 New York, NY
95% match
No tags
📍 New York, NY
93% match
No tags
📍 New York, NY; San Francisco, CA
85% match
No tags
📍 Remote
85% match
No tags
📍 Remote (US/Canada)
85% match
No tags
📍 San Francisco / San Jose; Boston / NYC areas also welcome; Hybrid 2-3 days in person per week; Fully remote within US possible for the right person
85% match
No tags
📍 New York, NY; San Francisco, CA
84% match
No tags
📍 San Francisco, CA
84% match
No tags
📍 Remote
84% match
No tags
📍 San Francisco, CA
84% match
No tags
📍 New York City, NY; Remote (US/Canada)
84% match
No tags
📍 Remote
84% match

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.

By clicking “Accept”, you agree to our use of cookies.
Learn more.