The legal world is in the midst of a Data Science and AI revolution. The Liberty Mutual Legal department is at the forefront of the legal transformation applying advanced data science tools including deep learning and NLP to legal problems such as contract analysis, billing audit and policy coverage analysis.

We are looking for a talented data scientist to join our team building AI and decision support tools that help our clients and policyholders obtain better outcomes on legal related issues.

In this role, you will collaborate closely with a team of data scientists, analysts, IT developers, and legal subject matter experts. You and the team will work with clients across the company to develop strong understanding of business needs. You will research and apply machine learning and statistical algorithms to projects aimed at revealing the drivers of legal cost and related outcomes.

Responsibilities:

• Develop predictive and explanatory models that help improve legal decision making using deep learning and other NLP (Natural Language Processing) techniques
• Perform all data preparation and exploratory data analysis steps
• Guide implementation, testing, and evaluation of models
• Work with clients to develop strong understanding of business needs and use business understanding to help design effective analytical solutions
• Manage and execute all aspects of analytic initiatives, including developing project plans and collaborating with others
• Present methodology and results of analysis to a broad range of audiences, including both technical and non-technical, at all levels of the organization
• Collaborate closely with other members of the Legal Analytics and Data Science team and the Liberty Mutual Data Science community
• Minimimal travel may be necessary

• Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Computer Science, Economics, Actuarial Science or other scientific field of study) with 0-1 years professional experience, a Master’s degree and 2-3 years of relevant experience or a Bachelor’s degree and 4+ years of relevant experience.
• Adept at framing business questions and practices in analytic terms, and translating business requirements into corresponding datasets, analyses, models, and reports
• Demonstrated proficiency in Python required
• Experience applying Deep Learning and/or NLP techniques (especially using Tensorflow or PyTorch) on large unstructured data highly preferred
• Experience with software management tools (such as Git)
• Demonstrated communication skills to exchange ideas and convey complex information clearly and concisely
• Model deployment and project management experience preferred