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The Hartford is looking to lead the insurance industry in AI and is seeking a Sr Data Scientist to help deliver scalable, end-to-end solutions, reusable capabilities, and knowledge that drive real business impact, specifically in developing agentic AI workflows to automate and transform claims processing.

Requirements

• Professional experience with Gen AI using LLMs
• Experience working in Agile
• Experience with cloud architecture, with bonus points to GCP
• Production-grade code in Python
• Object-oriented programming, unit testing, version control using Git
• Familiarity with (or curiosity about) design patterns and best practices in software architecture
• Mastery of the traditional data science toolkit (e.g., pandas, SQL, Excel, matplotlib)

Responsibilities

• Research & Scouting: Stay ahead of the fast-moving AI landscape by studying, prototyping, and assessing emerging technologies (LLMs, agentic systems, multimodal AI, advanced ML).
• Solution Design: We develop first-time solutions to unique challenges, requiring strong analytic skills, resourcefulness, experience in crafting AI solutions, and judgment about the feasibility of different approaches.
• Software Development: We deploy AI systems in production, so you need to write production-grade code in Python.
• Experimentation & Evaluation: We guide the development of AI solutions by evidence and measure performance of specific steps and end-to-end solutions.
• Data processing & Analysis: While our focus is on unstructured data with Gen AI, we still regularly handle tabular datasets, requiring mastery of the traditional data science toolkit (e.g., pandas, SQL, Excel, matplotlib).
• Communication & Collaboration: We partner on projects with other teams and serve as a Gen AI expertise hub across the enterprise.
• Design pragmatic experiments with solid methodology and meaningful metrics.

Other

• Candidate must be authorized to work in the US without company sponsorship.
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Collaborative approach and effective communication are key to your success.
• 3 days a week (Tuesday through Thursday) office work expectation for candidates who live near one of our locations
• Hybrid or Remote work schedule available