Senior Analyst, Data Science, Capacity Modeling and Optimization

Liberty Mutual Insurance

Liberty Mutual Insurance's Insights & Solutions group leverages data analytics and technology to propel their US Retail Markets business forward. The US Retail Markets Data Science team, known for its diverse talent, aims to predict future risks and customer needs. Joining this dynamic group means contributing to industry-leading data segmentation efforts.

In this role you can expect to have the responsibilities:

• Use data science techniques to handle large datasets for business decision-making.
• Build and assess predictive models for staffing and forecasting with statistical reliability.
• Translate quantitative analyses into visuals understandable to non-technical stakeholders.
• Provide insights into the outcomes of various staffing scenarios to guide business decisions.
• Tailor analytic solutions for specific client and operational needs.
• Exhibit proficiency in Python and understanding of data science libraries and frameworks.
• Apply optimization algorithms and build predictive models using machine learning and large language model architectures.
• Communicate project proposals and results effectively to non-technical stakeholders.
• Engage with the Data Science community and understand MLOps, EDA, and data visualization.
• Use SQL to query databases for data-driven decisions.

This role comes with the following benefits:

• Comprehensive benefits
• Employee Resource Groups
• Continuous learning opportunities
• Diverse, equitable, and inclusive workplace

This role requires you to have:

• Solid knowledge of predictive analytics techniques and statistical model diagnostics.
• Advanced knowledge of predictive toolsets and development.
• Ability to clearly convey complex ideas and information.
• Understanding of work context and its impact.
• 0-1 years of experience with a Ph.D., 2-3 years with a master’s, or 4+ years with a bachelor’s degree.

Liberty Mutual values a diverse and inclusive environment and supports all employees through comprehensive benefits and a commitment to equal opportunity. They promote a fair chance hiring process, especially in areas such as California and Philadelphia.