Director, 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 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.

 

Join the Small Commercial Product Design & Modeling department to develop industry-leading pricing and underwriting models. We pride ourselves in developing the best-in-class models and making the team an awesome place to work! The SC PDM team turns DS insights into business value and partners closely with business stakeholders to expertly align risk with rate.

 

Analyst roles within the team range from leaning more heavily into research to inform our product design, to directly interfacing with regulators and Profit & Loss owners. Our analysts make an impact by improving model fits, researching new modeling techniques, increasing the speed of model deployments, improving capabilities to test, calibrate, and monitor models, and serving as technical experts to explain our models to the broader Small Commerical organization. With opportunities for growth, mentorship, and engagement with the data science community, we offer a stimulating environment for those with a passion for technical excellence and problem-solving.

 

The Small Commercial Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our core UW programs. The ideal candidate is proactive and intellectually curious, resilient, highly technical, and can efficiently think through complex business questions independently. The person in this role will have opportunities to collaborate directly with teams in US Data Science, including Data Science Excellence and Infrastructure.

 

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

**Level of position offered will be based on skills and experience at manager discretion**

 

Job responsibilities:

• Mine large datasets using sophisticated analytical techniques to generate insights and inform business decisions.
• Independently build and interpret complex UW models for Small Commercial, incorporating learnings from other lines of business as appropriate.
• Explore and utilize advanced modeling techniques and strategies to improve model sophistication.
• Collaborate with Underwriting Effectiveness, State Management, IT, and other business partners to help implement new UW models.
• Enable the business to make clear tradeoffs among choices, with a reasonable view into likely outcomes.
• Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes.
• Effectively communicate results in written, oral, and presentation formats.
• Act as a mentor and help develop less experienced analysts on the team.
• Regularly engage with the data science community and lead cross functional working groups.
• Drive innovation in the application and development of tools and practices.

Qualifications

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
•  Advanced knowledge of predictive toolset; reflects 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 management and other groups.
• Ability to use results of analysis to persuade team, department management or senior management to a particular course