Job Locations US-WA-Seattle | US-Remote | US-MA-Boston | US-TX-Plano

ID

2026-74067

Position Type

Full-Time

Minimum Salary

USD $156,000.00/Yr.

Maximum Salary

USD $281,000.00/Yr.

Typical Starting Salary

187,300 - 249,800

Flexible Time Off Annual Accrual - days

25

Application Deadline

1/30/26

The US Retail Markets (USRM) Service Data Science team is growing and looking for a hands-on and empowering manager to lead and nurture a data science team of 4-6 data scientists, driving innovative modeling and AI solutions in the USRM Service operations. A successful candidate should have in-depth technical experience across the entire data science life cycle, proven track record to lead and develop talent, strong communication and collaboration to engage with business and technical stakeholders, and drive to create an engaging team culture.

**This position may have in-office requirements depending on candidate location.**

Key Objectives & Responsibilities:

• Lead transformative data science initiatives that support USRM Service priorities (e.g., customer retention, profitable growth, call center productivity, process automation).
• Lead a team of data scientists and analysts in developing, deploying, monitoring, and refining AI and data science models (GBM, LLM).
• Develop your team’s technical, business, and soft skills by setting clear goals, inspiring high performance, and supporting professional growth and development.
• Collaborate closely with cross-functional teams to understand business challenges, strategize and execute data-driven solutions, and communicate progress and impact.
• Ensure that our team’s ML Ops capabilities continue to advance and adapt to new technologies and best practices.

• Extensive technical experience across the data science lifecycle, from deciding what problems to solve, through training and deploying models (batch and real-time inference), to evaluating and continually monitoring in-market performance.
• Prior experience leading and developing high-performing teams.
• Strong proficiency in Python (and ideally SQL); able to review and guide production-quality code and designs.
• Proven ability to collaborate and communicate effectively with stakeholders to identify key business problems and implement impactful data-driven solutions.
• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset, to include highly technical tools.
• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.
• Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups.
• Presents to senior or functional department leaders or executives.
• Broad 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 an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific
  field of study) with 10 years of relevant experience.
• Insurance or financial services industry experience preferred.

Additional Skills and Experiences (Nice to Have):

• Knowledge and experience with customer service or call center operations.
• Strong technical proficiency in Natural Language Processing (NLP) and Generative AI.

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

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