Assistant Director, Data Science

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.

Join the Property & Specialty 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 P&S 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 Property & Specialty 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 Property & Specialty Product Design and Modeling team is hiring an individual contributor to work on predictive modeling for our Specialty products. The ideal candidate is proactive and intellectually curious, resilient, highly technical, and can efficiently think through complex business questions independently.  P&C experience and an actuarial background is highly desirable. 

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

Responsibilities:

• Leads the rollout of the latest Umbrella Rebuild pricing programs with key responsibilities including adjusting models due to state restrictions, building supporting documents and responding to DOI objections
• Builds, modifies and interprets GLM pricing models for personal lines Umbrella and other programs in Excel, Emblem, and/or Python packages
• Oversees and coordinates the projects for two contractors supporting Umbrella initiatives
• Collaborate with Delivery, Specialty Product, Program Management, IT, and other business partners to help implement new Umbrella models
• Evaluates and verifies the outputs and processes, promptly communicating any issues that may arise
• Communicates in written, oral, and presentation formats effectively
• Applies knowledge of sophisticated analytical techniques to manipulate structured and unstructured datasets for generating insights to inform business decisions
• Enables the business on potential outcomes and provide informative trade-offs among options
• Supports other property and specialty research projects that drive risk segmentation as necessary
• Regularly engages with the data science and/or actuarial community and participate in cross functional working groups
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• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset; reflects as expert resource for tool development.
• 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.
• 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.