Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team
Compensation
Not disclosed
Location
Remote, Remote, United States
Work setup
Remote
Seniority
Not specified
Employment
Not specified
Experience
5+ years
Category
Data science
Posted
Skills
agentic-ai
ai
anthropic
api
cloud
cloud-native
crewai
data-science
fastapi
generative-ai
langchain
langgraph
llamaindex
llm
machine-learning
oop
openai
python
statistics
streamlit
tdd
vector-databases
Must have
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 degr
Full description
Description 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 locationCandidates 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 UsPay 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:
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.