Senior Director & Data Scientist
Listed on 2026-03-14
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IT/Tech
Data Scientist, Data Analyst
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.
CompensationOverview
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.
$ - $
Target Openings1
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.
In this role, you will be leading a team that builds models to understand and predict our competitive position in the insurance marketplace. You will employ machine learning and MLOps practices to improve the predictive power of these models and the efficiency with which we can maintain them and deploy updates. You will also work with business and analytics partners to ensure model insights are readily available to support decision-making.
WhatWill 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/technical development for team members.
- Perform other duties as assigned.
- Master's in STEM related field or equivalent.
- 10 or more years of related work experience, including 6 or more years of team leadership experience.
- Industry expertise in modeling/ research/ analytics or actuarial required.
- Industry level knowledge of value creation and business model concepts.
- Regularly interacts with executives and/or major customers using negotiating and/or influencing skills.
- Subject matter expertise in the majority of external software programs.
- Ability to apply emerging statistical procedures to large highly complex work.
- Recognized industry expertise in 2-3 of the following:
Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
- Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus six 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…
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