Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team
Liberty Mutual · ${34271}-Remote), UNAVAILABLE, Hidden (${12781}
About this role
## Director, Data Science — Medical, Special Investigations, and Programs (MSP) Claims Data Science ### Overview Join Liberty Mutual’s **Medical, Special Investigations, and Programs (MSP) Claims Data Science** team as a **Director, Data Science**. This is a senior individual contributor role for an execution-focused data scientist who can independently partner with stakeholders to identify, prioritize, and build **ML and AI capabilities** in an environment with a minimal existing data science footprint. You’ll help establish and execute a roadmap of foundational **Machine Learning and AI** capabilities to enhance **adjuster workflows** and related supporting processes (e.g., **Quality Improvement**). While you’ll start as an individual contributor, you’re expected to build a team as you define your execution strategy. ### Location / Work Model - **Hybrid (2 days/week in office):** Candidates living within **50 miles** of **Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX** - **Remote:** Otherwise, **remote with occasional travel** ### What You’ll Do - Partner with leaders in **Claims** and delivery partners (**Insights & Solutions, Technology, Enterprise Data**) to identify **AI/ML opportunities** and create a prioritized delivery roadmap. - Design, build, and iterate on **Machine Learning** and **Generative & Agentic AI** solutions that deliver measurable value for adjusters in **Medical** and **Workers’ Compensation** claims. - Architect and deliver end-to-end intelligent systems integrating: - Machine learning - LLMs - RAG pipelines - Agentic workflows - Structured/unstructured claims data - Apply strong **software engineering** and **ML/AI Ops** practices (e.g., **object-oriented Python**, modular design, **test-driven development**, model monitoring). - Define and implement evaluation/measurement strategies, including: - Impact & acceptance KPIs - Human-in-the-loop review - Automated quality metrics - Collaborate with **Engineering, Product, Architecture, UX, and Claims** to translate ambiguous problems into working solutions. - Provide technical mentorship and thought leadership through design reviews and collaboration. ### Skills & Experience - Expert-level **machine learning & statistical modeling** with a track record of delivering measurable business value. - Deep knowledge of **insurance claims processes**, especially **Workers’ Compensation** or other medical-driven lines (e.g., Medical & Casualty, Disability). - Strong **Python** experience with object-oriented design and engineering best practices. - Demonstrated **AI/ML Ops** experience: model lifecycle management, experimentation, evaluation, monitoring, and operational readiness in cloud-native enterprise environments. - Ability to measure **AI/ML and GenAI quality** and **business impact** using quantitative and qualitative methods. - Experience partnering with technical and business stakeholders in complex enterprise environments. ### Nice to Have - Experience delivering ML/AI products via **Python APIs** and frameworks like **FastAPI** and **Streamlit** (or equivalent). - Experience delivering business value with **Generative & Agentic AI** in an enterprise setting. - Building/deploying/maintaining AI products using frontier models (e.g., **OpenAI, Anthropic, Google**). - Experience with frameworks such as **LlamaIndex, LangChain, LangGraph** (or equivalent). - Exposure to **CrewAI, AgentCore**, or other agentic orchestration
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