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 160 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.

Job Category

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

$157, - $259,

Target Openings

What Is the Opportunity?

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. 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. This role may but does not typically manage others.

What Will You Do?

• Lead Commercial Auto Pricing Innovation : Spearhead technical projects involving the design, development, and enhancement of commercial auto pricing and benchmark models across all business units.
• Provide Technical Leadership : Mentor junior data scientists and manage fluid talent allocation on project-based initiatives within the commercial auto domain.
• Serve as Commercial Auto Data Subject Matter Expert : Partner closely with Data Engineering and External Data Evaluation & Acquisition teams to drive data strategy and optimization.
• Drive Cross-Functional Collaboration : Work with Analytics & Research colleagues, Actuarial Product, Auto Product, Underwriting, and IT teams to ensure seamless model implementation through knowledge transfer, scenario testing, and rigorous code peer review processes.
• Champion Best Practices : Lead the development and adoption of industry-leading practices in AI / Machine Learning, statistical methodologies, and coding standards, with particular emphasis on pricing applications.
• 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?

What is a Must Have?

What Is in It for You?

What Is in It for You?

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.