Staff Data Scientist

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Data Science

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$161,400.00 - $266,300.00

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Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Staff Data Scientist, you will build complex models that solve key business problems. You will join the Claim Research team, where we are building ML/AI capabilities to transform how claim organizations work. This may include the use of most advanced technical tools in the data science practice. You will communicate insights and tell the story using data to business and analytical leaders. You will also collaborate with technology partners to deliver analytics out to our products in the marketplace.

What Will You Do?

• Lead business or technical projects focused on the design or development of analytical solutions.
• Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding.
• Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews.
• Begin to challenge conventional thinking where appropriate.
• Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view.
• Guide technical strategy of teams through own technical expertise.
• Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts.
• Communicate analysis, insights, and results to team, peers, business partners.
• Partner with cross-functional teams and leaders to support the successful execution of data science strategies.
• Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts.
• Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Subject matter expertise in modeling/ research/ analytics or actuarial required
• Subject matter expertise in value creation and business model concepts
• Subject matter expertise in multiple statistical software programs
• Ability to develop highly complex models, interpret model results and recommend adjustments
• Expertise in advanced statistics underlying data models
• Ability to apply emerging statistical procedures to complex work
• Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
• Hands-on experience building and evaluating LLM-based applications and AI agents (e.g., prompt design, retrieval-augmented generation, tool use, orchestration).
• Experience designing evaluation approaches for generative AI, including accuracy, hallucination and error analysis, and golden-set creation.
• Ability to elicit requirements from non-technical stakeholders and turn ambiguous business problems into well-scoped solutions.
• Familiarity with insurance claims data and processes.

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience.
• Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required.