Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team
Our 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 individual contributor role for an experienced, execution-focused data scientist who can independently partner with stakeholders to identify, prioritize, and build ML and AI capabilities in a space with a minimal existing data science footprint.
A successful candidate in this role will partner closely with leaders in Claims and delivery partners in Insights & Solutions and Technology to establish and execute on a roadmap of foundational Machine Learning and AI capabilities to enhance adjuster workflows and related supporting processes (e.g., Quality Improvement). While this role will begin as an Individual Contributor, it is expected that this leader will build a team around them as they establish their execution strategy.
This role may have in-office requirements depending on candidate location
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**
What you'll do:
- Partner closely with leaders in Claims and other delivery partners (Insights & Solutions, Technology, and Enterprise Data) to identify AI/ML opportunities and create a delivery roadmap that prioritizes the most impactful work.
- Design, build, and iterate on Machine Learning and Generative & Agentic AI capabilities which deliver real business value for adjusters in Medical and Workers' Compensation claims.
- Collaborate with our partner teams to architect & deliver end-to-end intelligent systems integrating machine learning, LLMs, RAG pipelines, agentic workflows, and structured/unstructured claims data to solve real business problems.
- Apply strong 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 & acceptance KPIs, human-in-the-loop review, and automated quality metrics.
- Collaborate with Engineers, Product, Architecture, UX, and Claims stakeholders to translate ambiguous problems into working solutions.
- Provide technical mentorship and thought leadership through design reviews and collaboration.
Skills and Experiences:
- Expert-level machine learning & statistical modeling practitioner with track record for delivering measurable business value.
- Deep knowledge of insurance claims processes, especially in Workers' Compensation or other medical-driven lines of business (e.g., Medical & Casualty, Disability).
- Experienced in Python development with 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 GenAI system quality and business impact using quantitative and qualitative approaches.
- Experience partnering with technical and business stakeholders in complex, enterprise environments.
Additional Skills and Experiences (Nice to Have):
- Experience delivering ML and AI products through Python API and Application frameworks like FastAPI and Streamlit (or equivalent)
- Demonstrated experience delivering business value with Generative & Agentic AI in an enterprise setting
- Building, deploying, and maintaining AI products using leading frontier models from providers like OpenAI, Anthropic, and Google
- Experience building generative & agentic AI solutions using frameworks like LlamaIndex, LangChain, LangGraph, or equivalent
- Exposure to CrewAI, AgentCore, or other agentic orchestration frameworks
- Familiarity with vector databases and embedding-based retrieval systems
Qualifications
- Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset. Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Ability to establish and build relationships within and outside the organization.
- Ability to give effective training and presentations to management, executives and other groups.
- Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
- Deep knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 5 years of relevant experience, a Master`s degree (scientific field of study) and 8 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and 12 years of relevant experience.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
$137,000.00 - 281,000.00
Skills Required
- Expert-level machine learning and statistical modeling experience delivering measurable business value
- Deep knowledge of insurance claims processes, especially Workers’ Compensation or other medical-driven lines of business
- Experienced Python development using object-oriented design and engineering best practices
- AI/ML Ops experience covering model lifecycle management, experimentation, evaluation, monitoring, and operational readiness in a cloud-native enterprise environment
- Experience measuring AI/ML and Generative AI system quality and business impact using quantitative and qualitative methods
- Experience partnering with technical and business stakeholders in complex enterprise environments
- Deep knowledge of predictive analytics techniques and statistical model diagnostics
- Expert knowledge of predictive tools and ability to communicate complex information clearly
- Ability to establish relationships across and outside the organization
- Ability to provide effective training and presentations to management, executives, and other groups
- Ability to use analysis results to persuade teams and senior management
- Deep knowledge of business drivers and market context with a value-driven perspective
- PhD in Statistics, Mathematics, Economics, Actuarial Science, or another scientific field plus 5 years of relevant experience; or master’s degree in a scientific field plus 8 years; or bachelor’s degree in a scientific field plus 12 years
- Experience delivering ML and AI products through Python API or application frameworks such as FastAPI and Streamlit
- Experience delivering business value with Generative and Agentic AI in an enterprise setting
- Experience building, deploying, and maintaining AI products using OpenAI, Anthropic, Google, or equivalent frontier models
- Experience building Generative and Agentic AI solutions with LlamaIndex, LangChain, LangGraph, or equivalent frameworks
- Exposure to CrewAI, AgentCore, or other agentic orchestration frameworks
- Familiarity with vector databases and embedding-based retrieval systems
What We Do
Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
Why Work With Us
We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.
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