Analyst, Data Science

Description

The creative problem-solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.

 

The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets:• Distribution, Marketing & Experience Insights & Solutions• Data Office• Claims & Service, Insights & Solutions• Knowledge & Development Solutions• Data Science

 

The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future.

 

The Small Commercial (SC) Product Design and Modeling team within US Retail Markets Data Science is hiring an individual contributor, Data Science Analyst, to join the General Liability (GL) team. This role gains experience in collaborating with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making. It 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.

 

Focus at this level is on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.

 

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

 

At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.

 

Responsibilities:

• Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building 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.
• Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Assists in customizing analytic solutions to specific client needs.
• Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
• Engages with the Data Science community.
• Participates in cross functional working groups.

 

Qualifications

• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
• Advance knowledge of predictive toolset; expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Has a value-driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through a Master’s degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience.

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 th