AI Engineer - Data Science

Applied Underwriters is assembling a small team of AI Engineers to adapt and build AI and data science capabilities that support underwriting workflows. The work connects real underwriting data to practical insights for underwriters, alongside hands-on contributions to applications and supporting infrastructure.

Location and Salary

• Location: New York, NY (onsite)
• Salary: USD 100,000 - 120,000 per year

Role Overview

You will be one of a small group of AI Engineers working closely with underwriters and operations staff. The focus is to adapt existing AI/data science products to match underwriting needs and to build new solutions when current tools do not fit. The position leans toward data science, turning submission, policy, and loss data into insight underwriters can act on.

In addition to core data science work, team members also build applications and contribute to infrastructure. Your work will be reviewed by three senior AI engineers, who will teach and guide you throughout the process.

Key Responsibilities

• Collaborate directly with underwriters and operations staff
• Adapt existing products to meet user needs
• Build new products when no existing solution matches requirements
• Convert submission, policy, and loss data into actionable insight for underwriters
• Build applications
• Support infrastructure work

Required Qualifications

• Education: a bachelor’s degree in computer science, data science, statistics, mathematics, engineering, or a related field
• Experience: 0–4 years of experience, including internships and co-ops
• Strong Python and SQL, with comfort working with messy, real-world data
• A grounding in statistics
• Demonstrated work you built and can show, including one or more of the following:
  • Structured-extraction or document-processing projects
  • A RAG or document Q&A system
  • An evaluation or testing setup for model or LLM output
  • A data analysis or modeling project on a real dataset
• Curiosity about how the business runs, along with patience to learn insurance from domain experts
• Clear communication with non-technical colleagues

Technologies

• Python
• SQL

Benefits

• 100% employer-paid medical, dental, and vision insurance for employees
• 401(k) plan with 100% immediate vesting and a 4% company match
• Paid time off (PTO) and paid holidays
• Life, disability, critical illness and accident insurance
• Employee Assistance Program (EAP)
• Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses
• Tuition reimbursement
• Fitness reimbursement and various additional quality-of-life benefits

How to Apply

Apply through this posting with your résumé and a link to your GitHub, a deployed app, or a portfolio. Portfolios are reviewed first. If you are shortlisted, you will walk a senior engineer through a project you built and discuss the choices you made.