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GEN AI Sr Data Scientist​/Data Scientist

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60290, USA
Listing for: The Hartford
Part Time, Remote/Work from Home position
Listed on 2025-11-27
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Step into the future with The Hartford as a Data Scientist / Sr Data Scientist, where Generative AI isn't just a buzzword—it's central to our strategy. Join a team that's pioneering AI-driven solutions in underwriting, claims processing, and customer service, transforming how we operate and make decisions. As part of our horizontal language-focused Gen AI team, you'll tackle advanced use cases and shape the development of Gen AI capabilities across the organization.

Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you.

We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).
** Responsibilities:
** Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
*
* Qualifications:

** 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.Proven experience in GenAI tools such as Vertex AI/Google agent development kit,  Lang Chain/Lang Graph, RAG frameworks, Hugging Face, OpenAI APIs, etc.

Proficiency in Python and ML frameworks such as PyTorch, Tensor Flow, etc.

Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.

Strong analytical, problem solving and debugging skills. ### Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
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