GEN AI Sr Data Scientist/Data Scientist

The Hartford • Columbus, OH

1d • Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Senior Data Scientist – AI Horizontal Products Step into the future with The Hartford as a Senior Data Scientist, where Generative AI is a core strategic capability—it’s central to our enterprise strategy. Join a team that’s pioneering AI‑driven products across underwriting, claims, and customer service, transforming how we operate and make decisions at scale. As part of our Horizontal AI Products Team, you will investigate emerging models, architectures, and techniques; design rigorous evaluation frameworks; and prototype new products that inform how GenAI is operationalized across the organization. This position is ideal for someone who is intellectually curious, technically deep, and motivated by advancing the state of practice in enterprise Generative AI. This position offers a Hybrid or Remote work arrangement. Candidates living near one of our locations are expected to work in the office three days per week (Tuesday–Thursday).

Requirements

• Masters and 5+ years of industry experience OR PhD and 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• Strong proficiency in Python and modern AI/ML frameworks
• Demonstrated experience designing experiments, running evaluations, and drawing conclusions from empirical results.
• Hands‑on experience with Generative AI frameworks and platforms, including Vertex AI, ADK, LangChain/LangGraph, RAG pipelines, Hugging Face, and OpenAI APIs.
• Deep understanding of: Agent workflows and tool‑augmented LLMs Prompt engineering and model controllability Retrieval‑augmented generation (RAG) design trade‑offs Generative model evaluation and benchmarking techniques
• Experience collaborating with engineering and MLOps teams to transition prototypes into production systems.
• Strong written and verbal communication skills, including the ability to explain research findings, limitations, and trade‑offs to both technical and non‑technical audiences.
• Authorization to work in the United States without company sponsorship.
• STEM OPT I‑983 Training Plan endorsement is not supported for this role.

Responsibilities

• Conduct applied research in Generative AI, exploring emerging foundation models, architectures, and inference strategies to address enterprise AI use cases.
• Lead investigation and experimentation across areas such as: Agent‑based and multi‑step reasoning workflows Retrieval‑augmented generation (RAG) Long‑context modeling and information synthesis Prompting strategies and controllability of generative outputs
• Design and execute rigorous experimental frameworks to evaluate model quality, robustness, latency, cost, and reliability using: Automated metrics Human‑in‑the‑loop feedback LLM‑as‑a‑judge and comparative evaluation methodologies
• Create benchmarks and build reproducible pipelines to compare vendor models, open‑source alternatives, and internal approaches.
• Rapidly prototype research ideas using modern GenAI tooling such as: Vertex AI / Google Agent Development Kit LangChain / LangGraph RAG frameworks Hugging Face ecosystems OpenAI APIs
• Translate research findings into deployable GenAI capabilities, working closely with engineering and MLOps teams to ensure scalability, observability, and responsible AI practices.
• Contribute to the enterprise GenAI roadmap by identifying gaps, risks, and opportunities informed by ongoing research and industry trends.
• Partner with stakeholders across Data Science, Technology, and Business teams to align research directions with real‑world operational challenges.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees