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 the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
Description
The legal industry is filled with opportunity. The Global Legal & Compliance department at Liberty Mutual needs your help to meet these opportunities by applying data science tools including deep learning and generative AI to legal problems such as document analysis, billing audit, and outcome simulations.
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We are looking for a talented data scientist to join our team building AI and decision support tools that help the Legal Department work more efficiently and deliver better outcomes to our clients and policyholders on legal related issues.
In this role, you will collaborate closely with a team of data scientists, legal professionals, analysts, and IT developers. You and the team will work with clients across the company to develop a strong understanding of business needs. You will research and apply NLP (Natural Language Processing), machine learning, generative AI, and statistical algorithms to projects aimed at reducing legal costs and enabling advanced capabilities for legal professionals at Liberty Mutual.
Example projects include using deep learning-based NLP models to classify millions of text-based legal records, building machine learning models to predict the outcome of a case, and using generative AI to summarize and extract key information from lengthy documents to inform decision-making.
Salary for this position is 121,300-140,000 depending on experience and geographical location
Responsibilities:
- Develop predictive and explanatory AI solutions that help improve legal decision making using deep learning, machine learning, NLP (Natural Language Processing), and generative AI techniques
- Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Guide implementation, testing, and evaluation of models
- Work with clients to develop a strong understanding of business needs and use that 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
Qualifications:
- 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
- Ability to design and apply a broad set of machine learning and analytic techniques to specific opportunities defined by legal stakeholders
- Adept at framing business questions and practices in analytic terms and then translating business requirements into corresponding datasets, analyses, and models
- Demonstrated proficiency in Python
- Experience with software management tools (such as Git)
- Demonstrated communication skills to exchange ideas and convey complex information clearly and concisely
- Ability to effectively self-manage longer-term efforts by establishing and adhering project milestones and deadlines
- Understanding of MLOps principles to aid in development and deployment of efficient, robust, and repeatable work products
- Experience applying machine learning, deep learning, and/or NLP techniques, especially using PyTorch, Hugging Face, and sci-kit-learn on large, unstructured data
- Experience developing and implementing generative AI solutions
- Experience working with insurance, claims, or legal data
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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