Job Summary

The GRS Claims Advanced Analytics Team (within Claims Transformation) is looking for a highly motivated data scientist to join us at an exciting time as we embark on developing on several new next gen predictive models for all GRS LOBs, including Commercial Workers Comp and General Liability. This position will collaborate with business partners to develop predictive analytic solutions and/or tools that enable data-driven strategic decision-making. They will utilize current and emerging 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. This level reflects broad knowledge of predictive analytics techniques, and general application of applying those techniques to business issues. This position is a Grade 17 posting.

Responsibilities

• Researches and develops predictive analytic tools. Leverages knowledge to create/design solutions for business needs.

• Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.

• Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application.

• 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 larger components of projects of moderate-to-high complexity.

• Guides aspects of project design as a technical consultant for the team.

• Regularly engages with Liberty Mutuals data science community and participates in cross-functional working groups

Qualifications:

• Demonstrates competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 2 years of relevant experience, a Masters degree (scientific field of study) and 4 years of relevant experience, or a Bachelors degree (scientific field of study) and 5+ years of relevant experience.

• Bachelors degree required, Masters or Ph.D. preferred.

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.

• Expert knowledge of predictive toolset; serves as expert resource for tool development.

• 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 peers and less senior team members. Willingness to provide mentorship and guidance to junior analysts on team.

• Has a value-driven perspective with regard to understanding of work context and impact.

Benefits:

We value your hard work, integrity and commitment to positive change. In return for your service, its our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Overview:

At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed.

Were dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual.