Gen AI Data Scientist / Sr Data Scientist

Investor Strides LLC; Hartford (CT); Remote; USD 110,000 - 167,000; Full time

Job summary

An innovative firm seeks a Gen AI Data Scientist to develop cutting-edge AI solutions for underwriting and claims processing. This role requires expertise in Python and Generative AI, as well as a solid background in data analysis. You'll collaborate with various teams, crafting unique AI solutions and conducting experiments to enhance performance. If you're passionate about leveraging AI to transform customer service and claims processes, this is the perfect opportunity to make a significant impact in a forward-thinking organization.

Qualifications

• Deep understanding of ML, NLP, and Generative AI fundamentals.
• Strong analytical skills and resourcefulness in problem-solving.

Responsibilities

• Develop AI-driven solutions in underwriting and claims processing.
• Write production-grade code in Python with unit testing.
• Collaborate with teams to provide Gen AI expertise.

Skills

Generative AI

Python

Agile methodologies

Data analysis

Machine Learning

Natural Language Processing

Education

Master's degree in Data Science or related field

Tools

pandas

SQL

Excel

matplotlib

Job description

Job Listing Summary

Gen AI Data Scientist / Sr Data Scientist

Company: Hartford Fire Ins. Co

Location: Hartford CT - Home Office (Telecommute)

Employment Type: Full-Time

Date Posted: April 21, 2025

Key Responsibilities

• Develop AI-driven solutions in underwriting, claims processing, and customer service.
• Write production-grade code in Python, including object-oriented programming and unit testing.
• Craft unique AI solutions and conduct experiments to measure performance.
• Process and analyze unstructured and tabular data using traditional data science tools.
• Collaborate with other teams and serve as a Gen AI expertise source across the organization.

Required Experience

• Professional experience with Generative AI using LLMs.
• Experience working in Agile environments.
• Experience with cloud architecture.

Qualifications

• Deep understanding of ML, NLP, and Generative AI fundamentals.
• Strong analytical skills and resourcefulness in problem-solving.
• Ability to design pragmatic experiments with solid methodology.
• Mastery of traditional data science toolkit (e.g., pandas, SQL, Excel, matplotlib).
• Must be authorized to work in the US without company sponsorship.

Compensation

The annualized base pay range for this role is $110,720 - $166,080, with additional rewards including bonuses and long-term incentives.

Equal Opportunity Employer