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.
The Hartford is expanding its Data Science, AI & Analytics capabilities to deliver next‑generation AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and enterprise operations. We are seeking an AI Applied Scientist who combines strong scientific depth with hands‑on engineering to design, build, evaluate, and operationalize enterprise‑grade AI systems.
You will collaborate with product owners, SMEs, engineers, and both onshore and offshore DS/ML teams to drive measurable business impact through innovative ML and GenAI solutions.
What You Will Do
Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikit‑learn).
Design and deliver RAG pipelines, hybrid retrieval systems, and vector‑based search workflows.
Develop Agentic AI solutions including tool orchestration, reasoning flows, and safe‑execution strategies.
Run structured experimentation using evaluation metrics (BERTScore, BLEURT, semantic similarity, retrieval precision/recall).
Integrate solutions into GCP (Vertex AI, Workbench, Vector Search) and AWS (SageMaker, Bedrock)
Build ingestion, enrichment, and semantic retrieval flows for high‑quality knowledge and feature engineering.
Partner with onshore and offshore DS/ML engineers to ensure quality, consistency, and shared technical patterns.
What You Need to Succeed
Technical Qualifications
3–5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles.
Strong Python and SQL skills; experience with deep learning and ML libraries.
Hands‑on experience building RAG systems, vector search pipelines, and GenAI applications.
Familiarity with modern LLM platforms (Vertex AI, OpenAI, Bedrock, Azure OpenAI).
Experience implementing evaluation methodologies for both ML and GenAI.
Applied Science Skills
Ability to translate ambiguous business problems into well‑structured ML/GenAI solutions.
Experience designing multi‑step agent workflows and reasoning pipelines.
Strong grounding in statistics, experiment design, and feature engineering.
Communication & Collaboration
Ability to present complex concepts clearly to technical and business stakeholders.
Comfortable working with agile teams and collaborating across time zones.
Experience partnering with SMEs to validate and refine AI outputs.
Preferred Qualifications
Experience with Snowflake or enterprise data platforms.
Insurance domain knowledge (underwriting, claims, or risk analysis).
Experience with multimodal LLMs or enterprise prompt/agent frameworks.
Education & Experience
5+ years with Bachelor’s degree; less for Master’s.
Master’s preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields.
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.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual 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. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$90,160 - $135,240Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
Skills Required
- 3-5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles
- Strong Python and SQL skills
- Experience with deep learning and ML libraries
- Hands-on experience building RAG systems, vector search pipelines, and GenAI applications
- Familiarity with modern LLM platforms
- Experience implementing evaluation methodologies for both ML and GenAI
- 5+ years with Bachelor's degree; less for Master's
The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..
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Retirement Support — The retirement savings plan pairs matching with an additional company contribution and guidance, strengthening long‑term financial security. Consistent 401(k) generosity elevates perceived total compensation across roles.
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Leave & Time Off Breadth — Paid time off, holidays, and paid leaves are described as generous and accessible, supporting work‑life balance. The ability to take meaningful time away adds value beyond base pay.
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Healthcare Strength — Health, dental, and vision options are comprehensive, with supplemental coverages that help manage out‑of‑pocket costs. Mental health resources, EAP access, and wellness programs further reinforce overall benefits value.
The Hartford Financial Services Group, Inc. Insights
What We Do
Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy
