Director, Data Science
Description
The US Retail Markets (USRM) Claims and Service Data Science team is hiring an Assistant Director, Data Science or Director I, Data Science to advance our Generative AI capabilities across Claims and Service. Note there are 2 openings. One will focus on Claims and the other on Service (call centers and operations). This is a senior individual contributor role for a highly technical, execution-focused data scientist who excels at rapidly building and iterating on LLM-based AI systems. Advances in foundation models, RAG, agentic systems, and multimodal AI are creating new opportunities to support call center representatives or adjusters, improve customer communications, and increase operational efficiency. This role focuses on rapidly developing high-quality proof-of-concept (POC) solutions, rigorously measuring their performance, and helping define Liberty Mutual's standards for GenAI sophistication in the claims or service domain.
This is a range posting for both positions. Candidates will be considered at the appropriate level based on experience and qualifications
- Assistant Director, Data Science: $142,800 - $201,300.
- Director I, Data Science: $163,500 - $229,500.
- Design, build, and iterate on LLM- and GenAI-based POCs for claims or service use cases (e.g., call or claim summarization and insights extraction, adjuster Q&A, work review, chatbot, customer communications).
- Architect end-to-end GenAI systems integrating LLMs, RAG pipelines, agentic workflows, and structured/unstructured claims or service data.
- Apply strong software engineering and ML Ops practices, including object-oriented Python, modular design, experimentation, and monitoring.
- Define and implement GenAI evaluation and measurement strategies, including human-in-the-loop review and automated quality metrics.
- Collaborate with Engineers, Product, Architecture, UX, and Claims or Service stakeholders to translate ambiguous problems into working solutions.
- Provide technical mentorship and thought leadership through design reviews and collaboration.
- Expert-level Python development with strong object-oriented design and engineering best practices.
- Proven experience rapidly building Generative AI and LLM-based applications beyond simple demos.
- Strong ML Ops experience, including model lifecycle management, experimentation, evaluation, monitoring, and operational readiness.
- Demonstrated ability to measure AI/ML and GenAI system quality and business impact using quantitative and qualitative approaches.
- Experience partnering with non-data-science stakeholders in complex, enterprise environments.
- Assistant Director, Data Science: Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 2 years of relevant experience, a Master
s degree (scientific field of study) and 4 years of relevant experience or may be acquired through a Bachelors degree(scientific field of study) and 5+ years of relevant experience. - Director I, Data Science: Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master
s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelors degree (scientific field of study) and a minimum of 8 years of relevant experience.
- Experience with GenAI and application frameworks, such as:
- OpenAI APIs or comparable foundation model platforms
- LlamaIndex, LangChain, LangGraph
- CrewAI or other agentic orchestration frameworks
- Experience deploying AI systems in cloud-based, enterprise-scale environments.
- Familiarity with vector databases and embedding-based retrieval systems.
- Knowledge of insurance claims, customer service, or call center processes, data, or technology.
- Experience transitioning GenAI prototypes into production in partnership with engineering teams.
- FastAPI or similar Python API frameworks
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://LMI.co/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.
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