${34271}-Remote)
Actively hiring, first seen by us 6 days agoListed location: ${34271}-Remote), UNAVAILABLERead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Develop claim-level models for personal and small commercial lines
Mine large data sets to generate insights and inform business decisions
Identify and test hypotheses and build predictive models for business use
Translate analyses into visuals that non-technical audiences can follow
Lead larger components of highly complex projects
develop claim-level models supporting both personal and small commercial lines of business
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions
Identify and tests hypotheses, ensuring statistical significance, and build predictive models for business applications
Translate quantitative analyses and findings into accessible visuals for non-technical audiences
Responsible for larger components of highly complex projects
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
Ability to give effective training and presentations to peers, management and less senior business leaders.
Ability to use results of analysis to persuade team or department management to a particular course of action.
Proficiency in Python, SAS and/or SQL.
Hands-on experience with large analysis datasets and Enterprise-scale database systems.
Ability to perform high-level work both independently and collaboratively as a project team member or leader.
- 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 a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. About Us
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
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Day 6
Early. Similar jobs usually come down between day 7 and day 55.
At Libertymutual, jobs usually come down by about day 10.
From 10,129 similar postings that came down, and 27 of Libertymutual’s. Coming down is not always a hire.
9 open jobs
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- Expert analytical/problem solving and research skills. - Proficiency in Python, SAS and/or SQL. - Hands-on experience with large analysis datasets and Enterprise-scale database systems.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
The insurance industry is undergoing tremendous change and Liberty Mutual, a diversified global insurer and third largest property and casualty insurer in the US, is leading the charge with its innovative products and customer-centric approach within both its personal and commercial units. Liberty Mutual’s United States Retail Markets is seeking an Assistant Director, Data Science in the Risk Analytics Reserve Modeling team to develop claim-level models supporting both personal and small commercial lines of business.
In this role, you will work to continue advancing our understanding of and ability to predict loss and loss adjustments expenses through new data sources, tools, analytics, and advanced modeling techniques. This person will also work directly with our business stakeholders in supporting the implementation of our work into the business, including understanding the business needs and the best ways to continually improve our models and analytics. This position requires candidates who are intellectually curious, and love to support our business partners.
**This position may have in-office requirements dependent upon candidate location.**
Responsibilities:
Preferred experience includes:
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/benefitsLiberty 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
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${34271}-Remote)
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