Jobs / United States / Travelers Indemnity Company

Travelers Indemnity Company

Staff Data Scientist

4 Locations Posted today $161,400

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Skills this job asks for

StatisticsMachine learningDeep learningLLMs

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Travelers Indemnity Company paid sponsored hires in similar roles11 certified filings for “Associate Data Scientist, DSLDP” (Data Scientists) in CT: $123k–$147k, median $125k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 45 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Travelers Indemnity Company paid sponsored hires in similar roles
11 certified filings for “Associate Data Scientist, DSLDP” (Data Scientists) in CT: $123k–$147k, median $125k. Most were filed at wage level II (55%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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. 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 $161,400.00 - $266,300.00 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 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., pr

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