Data Scientist
Listed on 2026-05-30
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IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
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.
JobCategory
Data Science
Compensation OverviewThe 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?This role will serve as a technical lead within the Advanced Market Analytics team, owning end-to-end model development across the team's core market intelligence capabilities. The individual will drive the full modeling lifecycle, from problem framing production deployment, while setting a high technical bar for the team. Another focus of this role is the design and development of GenAI-powered applications that advance market intelligence capabilities, including surfacing competitive insights, automating analytical workflows, and enabling new ways for business partners to interact with and act on market data.
This role is well-suited for a technically deep practitioner who can operate independently on complex problems while contributing to the team's strategic direction.
- 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.
- 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.
- 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…
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