Applied AI Data Scientist

🔥 0 minutes ago

🦌 Connecticut, Illinois, +2 more states – Remote

🦌 Connecticut – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote

💵 $90.2k - $135.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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The Hartford

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1810

💸 Finance

👥 B2C

Insurance • Finance • B2C

The Hartford is a well-established insurance company offering a variety of products including auto, home, and business insurance. With over 200 years of experience, it caters to both individuals and small to midsize businesses, providing tailored insurance solutions and employee benefits. The company is particularly known for its AARP-endorsed auto and home insurance programs, which offer exclusive benefits and discounts for members.

📋 Description

• 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.

🎯 Requirements

• 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. • 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. • 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. • Experience with Snowflake or enterprise data platforms (preferred). • Insurance domain knowledge (underwriting, claims, or risk analysis) (preferred). • Experience with multimodal LLMs or enterprise prompt/agent frameworks (preferred).

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Professional development opportunities • Short-term or annual bonuses • Long-term incentives • On-the-spot recognition