Associate, Data Engineer

Role Overview

The Insurance Data Science team reports through the Chief Risk Officer and uses AI and machine learning techniques to develop predictive models for policy-level transactions and human behavior. The team is heavily invested in developing agentic AI tools to solve company-wide problems and boost efficiency of all aspects of work.

What You Will Do

Owning AI-assisted data reconciliation system and ETL, managing complicated data projects, using AI tools to develop new data pipelines and validation tools, building AI-native applications to solve data problems, performing ad hoc data analysis, and potentially building advanced machine learning models.

Why It Might Be a Fit

The successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above. Extraordinary analytical, organizational, and communication skills are required.

Requirements

• Bachelor’s or master’s degree in top universities with concentrations in computer science, data science, statistics, or any other related quantitative fields
• 3-5 years of industry work experience as data engineer or data scientist
• Strong programming skills in Python and SQL with or without AI tools
• Strong knowledge in database design and operation, data structure
• Proficient in developing and maintaining software and data infrastructure using Claude Code or any other substitutes
• Pro-active, detail oriented, and deadline driven
• Analytical, organizational, and communication skills

Benefits

• Dental insurance
• Vision insurance
• Discretionary bonus based on individual and team performance