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.

Are you passionate about pricing in the Insurance Industry? Would you like to join a dedicated team responsible for deploying pricing programs across all our retail lines nationwide? This is then your next job!

The US Data Science Pricing Deployments team is looking for an Assistant Director or Director, Data Science to lead the design and build of major pricing and underwriting programs in Earnix. This role will drive best practices within Earnix, while coordinating with modeling, data and technology teams to drive successful Earnix transformations, ultimately increasing speed to market and deploying more sophisticated models across LOBs.

Level offered will be based on candidate skills and experience at manager discretion.
This role may have in-office requirements depending on candidate location.

Responsibilities:
• Lead a working team to build pricing and underwriting programs in Earnix for all lines.
• Create and maintain rigorous data models for Earnix analytical projects and API.
• Facilitate design of Rate Order Calculations in Earnix and integration with upstream services to fully enable capabilities of Earnix
• Ensure accuracy of all pricing and non-pricing outputs from Earnix
• Coordinate planning and execution with Tech and Data Solutions teams with understanding of high-level rating architecture.
• Design and implement other use cases of Earnix as a rating engine.
• As required, troubleshoot and support post launch queries and issues.
• Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Applies forward looking thinking to inform methodological advancement.
• Drives innovation in the application and development of tools and practices.
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Regularly engages with the data science community and leads cross-functional working groups.

The ideal candidate will have:

• 2+ years of proven experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live or IBM Modeler

Qualifications

• Strong understanding of rating algorithm structures, including their components, inputs, and outputs, is highly preferred.
• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Advanced knowledge of predictive toolset; reflects as expert resource for automation script development, python skills a plus.
• Earnix or similar rating tools knowledge is a plus.
• 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 of action.
• Broad knowledge of business drivers and market context.
• 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 3 years of relevant experience, a Masters degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelors degree (scientific field of study) and a minimum of 8 years of relevant experience.

About Us
This position may have in-office requirements depending on candidate location.

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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