Senior Director, Data Scientist - Commercial Trucking Lead

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

$165,000.00 - $272,200.00

Target Openings

1

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 Sr. Director & Data Scientist, you will lead a team responsible for challenging conventional thinking and use data to communicate insights and tell the story to business and analytics leadership. You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage.

This is an exceptional opportunity to lead the strategic pricing segmentation of commercial transportation risk. As a Senior Data Scientist, you will direct a high-performing team of data scientists in developing cutting-edge trucking models while serving as a key liaison between technical analytics and executive leadership.

Core Responsibilities:

Advanced Model Development & Lifecycle Management
Lead the development and deployment of sophisticated rating plan models for commercial auto trucking business. Utilize advanced statistical techniques and machine learning methodologies to create competitive advantages while owning the complete model refresh process. Ensure trucking models maintain industry-leading standards and meet both regulatory requirements and business objectives through continuous construction, updating, and performance oversight of pricing and benchmark models.

Cross-Functional Product Collaboration
Partner strategically with Actuarial, Product Management, Underwriting, and IT teams to collaboratively design innovative products and implement robust models. Establish comprehensive monitoring processes that ensure optimal model performance and business alignment throughout the product lifecycle.

Regulatory Excellence & Compliance
Collaborate with actuarial and regulatory teams to facilitate seamless model filings with relevant authorities. Proactively address regulatory inquiries and objections, ensuring full compliance while maintaining clear, effective communications with all stakeholders.

Enterprise-Wide Best Practices Leadership
Engage with enterprise partners across the pricing domain to champion and disseminate best practices for advanced modeling methodologies. Drive consistency and innovation in modeling techniques throughout the organization while fostering knowledge sharing and technical excellence.

Team Leadership & Development
Guide and mentor a talented team of data scientists, creating a collaborative environment that promotes professional growth, technical excellence, and innovative problem-solving approaches. Build a culture of continuous learning and analytical rigor.

What Will You Do?

• Communicate analysis, insights, and results to team, peers, business partners, and on an occasional basis to executive level leaders.
• Anticipate potential objections and influence senior leaders to adopt a different point of view.
• Lead a team of managers and individual contributors that are executing on multiple projects and activities.
• Partner with teams and leaders to ensure the successful execution of data science strategies.
• Set and manages expectations with business partners for portfolio of work.
• Generate ideas and drives consensus; is aware of potential conflicts.
• Make suggestions in the development of business plans for the portfolio.
• Broadly and frequently share expertise with the business and/or data science community through discussions, presentations, or peer reviews to improve business outcomes.
• Assist with recruiting, training, and talent assessment efforts.
• Provide guidance and coaching and drive career/technic