AI Engineer: Insurance Data Scientist for Underwriters

Applied-Underwriters-2; New York (NY); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with vesting and company-m

PTO and holidays

Life and disability insurance

EAP

FSAs for health, care, and commuter

Tuition reimbursement

Fitness reimbursement

Job summary

United Risk, affiliated with Applied Underwriters, is seeking an AI Engineer to join a small team working closely with underwriters and operations staff. You’ll adapt existing products to user needs and build new ones where needed.

This data-science–leaning role turns submission, policy, and loss data into actionable insights. You’ll also contribute to applications and infrastructure, guided by three senior AI engineers who will mentor you along the way.

Qualifications

• Bachelor's degree in computer science, data science, statistics, mathematics, engineering or a related field.
• 0-4 years of experience, including internships and co-ops.
• Strong Python and SQL, and comfort with messy real-world data.
• A grounding in statistics.
• Evidence of projects: document processing, RAG/Q&A, evaluation/testing for models or LLM outputs, or data analysis on real data.
• Curiosity about how insurance runs and ability to learn from non-technical colleagues.
• Clear communication with non-technical colleagues.

Responsibilities

• Collaborate with underwriters and operations to tailor existing AI products and build new ones.
• Turn submission, policy, and loss data into actionable insights for underwriters.
• Contribute to applications and infrastructure; collaborate with three senior AI engineers for mentorship.

Skills

Python

SQL

Statistics

Data science

Education

Bachelor's degree

Tools

RAG

LLM evaluation

Job description

United Risk, affiliated with Applied Underwriters, is seeking an AI Engineer to join a small team working closely with underwriters and operations staff. You’ll adapt existing products to user needs and build new ones where needed.

This data-science–leaning role turns submission, policy, and loss data into actionable insights. You’ll also contribute to applications and infrastructure, guided by three senior AI engineers who will mentor you along the way.