Applied AI Data Scientist

The Hartford

Actively hiring Verified listing
Hartford, CT · Columbus, OH · Charlotte, NC · Chicago, IL Posted 10 days ago $90,160–$135,240 / year
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At a glance

AI generated

TL;DR

The Hartford is hiring an AI Applied Scientist to join its expanding Data Science, AI & Analytics team at a senior level. This role involves designing and operationalizing enterprise-grade AI systems by collaborating with product owners, SMEs, engineers, and offshore teams to drive business impact through innovative ML and GenAI solutions. Day-to-day responsibilities include building and optimizing models using PyTorch, TensorFlow, and scikit-learn, developing RAG pipelines and vector-based search workflows, and integrating solutions into GCP and AWS platforms. The ideal candidate has 3–5+ years of experience in Data Science or related fields with strong Python and SQL skills, hands-on experience with deep learning frameworks, and familiarity with modern LLM platforms. Additionally, they should possess applied science skills to translate business problems into ML/GenAI solutions and excel at communication and collaboration across technical and business stakeholders. Insurance domain knowledge is a plus.

Skills

Python SQL PyTorch TensorFlow scikit-learn RAG pipelines GCP Vertex AI AWS SageMaker Bedrock BERTScore BLEURT Snowflake Vector Search Agentic AI LLM platforms Evaluation methodologies Semantic retrieval Feature engineering

What you'll do

  • Build and optimize ML and deep learning models using modern frameworks like PyTorch and TensorFlow.
  • Design and deliver RAG pipelines and hybrid retrieval systems for enterprise applications.
  • Develop Agentic AI solutions including tool orchestration and reasoning flows.
  • Run structured experiments with evaluation metrics to assess model performance.
  • Integrate AI solutions into cloud platforms such as GCP Vertex AI and AWS SageMaker.
  • Build ingestion, enrichment, and semantic retrieval flows for high-quality knowledge.

What we're looking for

  • 3-5+ years of experience in Data Science, ML Engineering, Applied AI, or GenAI roles.
  • Strong proficiency in Python and SQL with hands-on experience in deep learning and ML libraries.
  • Experience building RAG systems, vector search pipelines, and GenAI applications.
  • Familiarity with modern LLM platforms like Vertex AI, OpenAI, Bedrock, and Azure OpenAI.
  • Ability to translate business problems into structured ML/GenAI solutions and design multi-step agent workflows.
  • Strong communication skills for presenting complex concepts to technical and business stakeholders.
  • Master’s degree preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields.

Market check

Salary context

This $90,160–$135,240 range sits above 2% of similar postings on FindRole.

Peer median band

$112,800–$225,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$135,000–$200,000

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 60 open roles on FindRole.

Listed pay typically runs $126,880–$190,320 across 60 roles with salary data.

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View all roles at The Hartford

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