Senior, Data Science at Liberty Mutual Insurance

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Deep Learning, MLOps, AWS, Model Training, Data Wrangling, Collaboration, Technical Leadership, Research, Multimodal Data, Feature Engineering, Evaluation, Deployment, Retrieval-Augmented Generation, Insurance Knowledge, Mentorship

Industry

Insurance

Description

Description Are you looking for a hands-on role at the cutting edge of Generative AI research and solutioning in insurance? Do you want to design and implement science-driven GenAI features spanning multimodal data such as imagery, structured data, text, and audio that can transform pricing, risk evaluation, and product innovation? The Modeling Sophistication Deep Learning Research team is seeking a highly skilled technical leader who combines strong research depth with practical engineering ability. In this role, you will be both building end-to-end GenAI solutions yourself and providing technical direction, mentorship, and influence to peers and partners. You will explore novel architectures, LLM-based pipelines, retrieval-augmented generation (RAG) applications and evaluation, multimodal fusion, and generative approaches for creating new features, while ensuring seamless integration into Liberty Mutual’s business applications. This position is ideal for someone with deep curiosity, tenacity, and the drive to scale the impact of GenAI research across diverse insurance products without traditional managerial responsibilities. **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* The successful candidate will: Have a proven track record of developing GenAI-driven solutions (e.g., LLMs, multimodal models, diffusion models, foundation models) for complex real-world use cases. Be fluent in hands-on development, from data wrangling to model training/fine-tuning, evaluation, and deployment. Possess strong expertise in AWS-native tech stack and MLOps best practices. Bring practical experience in scaling GenAI models and services for business-facing applications. Demonstrate the ability to translate cutting-edge GenAI research into features with measurable business impact. Provide technical leadership and guidance, influencing best practices, solution architectures, and research directions across teams. Value collaboration with engineers, researchers, and business partners to bring novel science-based ideas to market. Responsibilities: Research, design, and build GenAI-powered feature pipelines, including text, vision, audio, and multimodal integrations. Serve as a subject matter expert for GenAI solutioning in insurance use cases (pricing, claims, underwriting, product innovation). Prior Insurance knowledge / experience is not required. Manage (or help manage for Asst Dir role) the end-to-end lifecycle of generative models and features, including training, fine-tuning, deployment, monitoring, and CI/CD pipelines. Research and apply retrieval-augmented generation (RAG) techniques, including developing pipelines, optimizing retrieval strategies, and evaluating RAG system performance. Drive MLOps best practices for scalable deployment of LLMs and other generative models in production environments. Mentor peers and junior scientists/engineers through technical guidance and code-level contributions, without direct line management. Collaborate with vendors and internal partners to evaluate and integrate external GenAI tools, foundation models, and datasets. Partner with the broader research and data science community to advance state-of-the-art methodologies and foster cross-team knowledge sharing. Communicate findings and strategic recommendations to leadership, ensuring business and technical alignment. 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 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 Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience. About Us 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco

Responsibilities

Research, design, and build GenAI-powered feature pipelines for multimodal integrations. Manage the end-to-end lifecycle of generative models and features, ensuring seamless integration into business applications.