Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team
About The Position
Liberty Mutual’s Medical, Special Investigations, and Programs (MSP) Claims Data Science team is hiring a Director, Data Science to support growing business demand in Medical and Workers’ Compensation Claims. This is a senior, execution-focused individual-contributor role for an experienced data scientist who can independently partner with stakeholders to identify, prioritize, and build machine-learning and AI capabilities in an area with a minimal existing data science footprint. The role will partner with Claims leaders and delivery partners in Insights & Solutions and Technology to establish and execute a roadmap of foundational ML and AI capabilities that enhance adjuster workflows and related supporting processes, such as Quality Improvement. The position is expected to build a team as the leader establishes an execution strategy. The role may have in-office requirements depending on the candidate’s location. Candidates within 50 miles of Boston, Massachusetts; Portsmouth, New Hampshire; Seattle, Washington; Columbus, Ohio; or Plano, Texas follow a hybrid schedule and work in the office two days per week. Otherwise, the position is remote with occasional travel.
Requirements
- Expert-level practitioner in machine learning and 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 of business such as Medical & Casualty or Disability.
- Experience developing in Python using object-oriented design and engineering best practices.
- Demonstrated AI/ML Ops experience, including model lifecycle management, experimentation, evaluation, monitoring, and operational readiness in a cloud-native enterprise environment.
- Demonstrated ability to measure AI/ML and generative AI system quality and business impact using quantitative and qualitative approaches.
- Experience partnering with technical and business stakeholders in complex enterprise environments.
- Deep knowledge of predictive analytic techniques and statistical diagnostics of models, and expert knowledge of the predictive toolset.
- Ability to exchange ideas and convey complex information clearly and concisely.
- Ability to establish and build relationships within and outside the organization.
- Ability to provide effective training and presentations to management, executives, and other groups.
- Ability to use analytical results to persuade teams and management to a particular course of action.
- Deep knowledge of business drivers and market context, with a value-driven understanding of work context and impact.
- Qualifications typically acquired through a Ph.D. in Statistics, Mathematics, Economics, Actuarial Science, or another scientific field and 5 years of relevant experience; a master’s degree in a scientific field and 8 years of relevant experience; or a bachelor’s degree in a scientific field and 12 years of relevant experience.
Nice To Haves
- Experience delivering ML and AI products through Python API and application frameworks such as FastAPI and Streamlit, or equivalent.
- Demonstrated experience delivering business value with generative and agentic AI in an enterprise setting.
- Experience building, deploying, and maintaining AI products using frontier models from providers such as OpenAI, Anthropic, and Google.
- Experience building generative and agentic AI solutions using frameworks such as LlamaIndex, LangChain, LangGraph, or equivalent.
- Exposure to CrewAI, AgentCore, or other agentic orchestration frameworks.
- Familiarity with vector databases and embedding-based retrieval systems.
Responsibilities
- Partner with Claims leaders and delivery partners in Insights & Solutions, Technology, and Enterprise Data to identify AI/ML opportunities and create a roadmap prioritizing impactful work.
- Design, build, and iterate on machine-learning and generative and agentic AI capabilities that deliver business value for adjusters in Medical and Workers’ Compensation claims.
- Collaborate with partner teams to architect and deliver end-to-end intelligent systems integrating machine learning, LLMs, RAG pipelines, agentic workflows, and structured and unstructured claims data.
- Apply software engineering and ML/AI Ops practices, including object-oriented Python, modular design, test-driven development, and model monitoring.
- Define and implement evaluation and measurement strategies, including impact and acceptance KPIs, human-in-the-loop review, and automated quality metrics.
- Work with Engineering, Product, Architecture, UX, and Claims stakeholders to translate ambiguous problems into working solutions.
- Provide technical mentorship and thought leadership through design reviews and collaboration.
- Establish an execution strategy and build a team as the role develops.
Benefits
- Comprehensive benefits supporting employees’ lives and well-being.
- Workplace flexibility.
- Professional development opportunities.
- Employee Resource Groups.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
