Jobs / United States / Travelers Indemnity Company
Data Scientist - Customer Experience GenAI
Travelers Indemnity Company · 🇺🇸 CT - Hartford
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles11 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).
- Confirmed live todayWhen a source last listed this job as open.
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.
Or apply yourself on the official page →
Sponsor Radar — Travelers Indemnity Company
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)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Travelers Indemnity Company →
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 $132,800.00 - $219,100.00 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, and Generative AI. As a Data Scientist, you will work with business partners to tell the story using data by identifying challenges and opportunities for data analysis and experiments. You will build models that solve key business challenges and enhance our customer experience. This includes helping to design, build, and evaluate Generative AI solutions and supporting the implementation of approved GenAI tools for AI enablement. What Will You Do? • Assist in design and development of analytical and Generative AI solutions. • Share knowledge with the community through discussions, presentations, or peer reviews. • Begin to set and manage expectations with business partners for small projects, and with guidance, identify potential conflicts and build consensus. • Assist in the design, development, and evaluation of Generative AI solutions; experiment with emerging AI technologies and help move successful prototypes toward scalable, production-ready capabilities. • Support the implementation and enablement of approved GenAI tools through hands-on partnership with users. • Communicate analysis, insights, and results to manager, peers and business partners and with guidance, tailor communication to the audience. • Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for intern recruiting and talent assessment efforts. • Support various training and skill development initiatives • Perform other duties as assigned. What Will Our Ideal Candidate Have? • Master's in STEM related field or equivalent. • 3 years of related experience. • Strong working knowledge of modeling/GenAI/ research/analytics or actuarial required. • Foundational knowledge of GenAI, including prompt design, tool use, RAG pipelines, grounding/attribution, and hallucination mitigation. • Relevant statistical analysis work experience required. • Strong Knowledge of statistical techniques with the ability to read/revise/ review statistical software programs. • Ability to develop models and interpret model results. • Understanding of advanced statistics underlying data models. • Ability to apply emerging statistical procedures to work. • Strong knowledge in: GenAI, Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Skills: • Statistical Methods • Model Evaluation • Presentations • Lifelong Learning • Adaptability • Business Intelligence (BI) • Technical Communication • Predictive Modeling • Generative AI • Dat