Senior Data Scientist- Global Products

About the position

The Liberty Mutual, Global Risk Solutions, DSS is seeking a Senior Data Scientist within the Global Products and Surety team. The Global Products and Surety team is responsible for expanding the boundaries of Data Science applications globally, helping incubate new ideas and encouraging innovation across Global Risk Solutions markets, with a strong focus on leveraging the latest Artificial Intelligence (AI) and Machine Learning (ML) methods to drive business value. The team is looking for a passionate individual who is full of curiosity, open to new ideas, and willing to fail fast and embrace a culture of experimentation. This individual will join our Agile team and play an essential role in building out in-house AI/ML capabilities and be involved in the end-to-end product cycle, from ideation to model development/deployment to field implementation. Typical projects would involve the following: Design and develop advanced deep learning models to aid pricing and risk selection for the fast growing cyber business. Design and fine-tune large language/vision models to glean valuable insights from different kinds of unstructured data. Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle.

Responsibilities

• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Buildout in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders.
• Research and develop NLP, CV and other AI/ML models including LLMs, VLMs and GenAI applications to improve risk selection and pricing.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Customizes analytic solutions to specific client needs.
• Responsible for smaller components of projects of moderate-to-high complexity.
• Regularly engages with the data science community and participates in cross-functional working groups.

Requirements

• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
• Advance knowledge of predictive toolset; expert resource for tool development.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
• Has a value-driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree.

Benefits

• Comprehensive benefits and continuous learning opportunities.
• Support for a diverse, equitable and inclusive workplace.
• Employee Resource Groups (ERGs) for community and engagement.