Job Locations US-MA-Boston

ID

2026-76295

Position Type

Full-Time

Job Grade

15

Department

043D-12085 Data Sci-Home & Specialty PDM

Market

US Retail Markets

Minimum Salary

USD $161,803.00/Yr.

Maximum Salary

USD $174,000.00/Yr.

Recruiter

Arunesh Saxena

Referral Bonus Eligible?

No

• Collaborates with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making.
• Utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Customizes analytic solutions to specific client needs.
• Responsible for major components of high complexity projects.
• Regularly engages with the data science community and participates in cross-functional working groups.
• Domestic travel required up to 5%.
• Telecommuting permitted up to 60%

Employer will accept a Bachelor’s degree (or foreign equivalent) in STEM, Industrial Engineering or related field and 5 years of experience in the job offered or in an Assistant Director, Data Science (STP)-related occupation.
Position also requires demonstrable experience in the following:

• Researching and adapting statistical and machine learning methods for business related modeling use.
• Utilizing predictive analytic techniques and toolsets and statistical diagnostics of models.
• Building predictive models using techniques including GLMs and machine learning models.
• Interrogation of machine learning models using contribution methods including Shapley values.
• Object Oriented Programing in python and ML Ops practices.
• Package development for predictive modeling or statistics including python packages or R packages.
• Demonstrated good communication skills to exchange ideas and convey complex information clearly and concisely.
• Demonstrated ability to quickly learn business and market context and learn subject experts’ insights for modeling purposes.
• Building insurance pricing models.
• Deploying machine learning models for pricing.
• Domestic travel required up to 5%.
• Telecommuting permitted up to 60%
• Multiple Positions Available.

REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-76295 in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.