GEN AI Sr Data Scientist​/Data Scientist

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.

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).

• 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 cont rollability 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
  • Lang Chain / Lang Graph 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.

• 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, Lang Chain/Lang Graph, RAG pipelines, Hugging Face, and OpenAI APIs.
• Deep understanding of:
  • Agent workflows and tool‑augmented LLMs
  • Prompt engineering and model cont rollability
  • 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.

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. The base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees.

The annualized base pay range for this role is: $90,160 – $166,080.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age