Leads a team of data scientists while remaining hands-on in designing, building, and evaluating GenAI solutions and agentic workflow automation. Develops AI evaluation metrics, MLOps capabilities, underwriting decision tools, and reusable AI products. Partners with engineers and business stakeholders, communicates technical findings, advises complex projects, and mentors staff to scale AI-enabled commercial underwriting and claims workflows.
Description
We are transforming commercial underwriting & claims processing with AI-assisted workflows that enable disciplined responsiveness for decision making at scale - driving consistency, efficiency, and profitability across the business in GRS. The Global AI Products & Transformation Team sits within the Data Science Solutions department in Global Risk Solutions (GRS) and is responsible for building and scaling those AI-enabled automation products across all segments of the commercial business. Our AI-enabled products provide underwriting intelligence for decision making, and are being currently integrated into the system of engagement. We plan to scale these capabilities and more to rest of the business in near future. To support this effort, we are seeking an exceptional, hands-on data science manager to join our team. In this role, you will lead a small team of data scientists while remaining hands-on technically.
Responsibilities
Qualifications & Skills
Qualifications
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://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.
Fair Chance Notices
$137,000.00 - 257,000.00
We are transforming commercial underwriting & claims processing with AI-assisted workflows that enable disciplined responsiveness for decision making at scale - driving consistency, efficiency, and profitability across the business in GRS. The Global AI Products & Transformation Team sits within the Data Science Solutions department in Global Risk Solutions (GRS) and is responsible for building and scaling those AI-enabled automation products across all segments of the commercial business. Our AI-enabled products provide underwriting intelligence for decision making, and are being currently integrated into the system of engagement. We plan to scale these capabilities and more to rest of the business in near future. To support this effort, we are seeking an exceptional, hands-on data science manager to join our team. In this role, you will lead a small team of data scientists while remaining hands-on technically.
Responsibilities
- Design, build, and evaluate GenAI solutions and agentic workflow automation systems
- Build evaluation metrics and tools to assess GenAI systems' performance, reliability, and safety
- Identify core reusable capabilities within a particular use case and work with other teams to scale those capabilities across other franchises in the business
- Collaborate with data scientists, AI & data engineers, and business partners to develop AI-enhanced decision-aid tools and drive strategic decision-making
- Communicate complex technical findings clearly to non-technical stakeholders
- Serve as a technical consultant on complex, high-impact projects
- Recruit, manage and develop a team of data scientists and analysts
Qualifications & Skills
- Strong foundational knowledge of data science and AI, combined with statistical knowledge for model diagnosis
- Proven expertise in building agentic AI systems using LangChain/LangGraph for underwriting automation
- Strong MLOps expertise across the complete data science lifecycle using MLFlow3/Databricks
- Familiarity with GenAI evaluation methodologies and experience assessing AI workflows
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely
- Ability to guide and mentor junior data scientists and analysts on the team
- Proven ability to build and sustain relationships both within and beyond the department
- Ability to translate analytical results into recommendations that influence team, department, and senior leadership decisions
- Broad knowledge of the business and market context, in particular, commercial underwriting & claims workflows, and ability to prioritize work based on the value it generates.
- Competencies typically acquired through a Ph.D. in Statistics, Mathematics, Economics, or another scientific field, plus 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 Bachelor's degree (scientific field of study) and a minimum of 8 years of relevant experience.
Qualifications
- Responsible for the management, technical oversight and development for a team of data science and advanced analytics staff.
- Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making.
- Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction.
- Provides tactical input on highly technically complex projects that drive change across function, SBU or Corporate Department.
- Supervises and performs highly complex well-defined work, containing technical and creative predictive analytics projects.
- Regularly engages with the data science community and leads cross functional working groups.
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://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.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
$137,000.00 - 257,000.00
Similar Jobs at Liberty Mutual Insurance
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads a team of data scientists while designing and evaluating generative AI solutions, agentic workflows, and underwriting automation systems. Builds evaluation metrics for AI reliability and safety, develops reusable capabilities, collaborates with engineering and business teams, communicates technical findings, and advises on complex projects. Recruits, manages, and mentors data science staff while translating analytical results into strategic business recommendations.
Top Skills:
DatabricksGenaiLangchainLanggraphMlflow 3Mlops
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Investigates and processes moderately complex to complex workers compensation claims, determining coverage, liability, compensability, reserves, damages, and settlements. The role coordinates litigation, engages experts, conducts negotiations and field investigations, and supports arbitrations and mediations. It also provides technical guidance, mentors team members, assists with caseload management, and participates in quality reviews. Candidates need advanced claims-handling and insurance coverage knowledge, strong negotiation and investigation skills, applicable licenses, and typically a bachelor’s degree with 3–5 years of related experience.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Analyzes operational, customer survey, qualitative, and unconventional data using Snowflake and SAS to identify retention drivers and customer pain points. Synthesizes findings into recommendations, improves reporting, provides operational consulting, and presents insights to senior leadership. Requires strong statistical, analytical, communication, and cross-functional collaboration skills.
Top Skills:
CortexEmblemExcelPowerPointPythonSASSnowflakeSQLVBA
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

