Jobs / United States / Intel Corporation
Finance Data Scientist
Intel Corporation · 🇺🇸 3 Locations
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 1,731 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. USCIS also records 1,112 H-1B approvals in FY2023. 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 Intel Corporation paid sponsored hires in similar roles33 certified filings for “Data Scientist” (Statisticians) in OR: $130k–$130k, median $130k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% 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.
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Sponsor Radar — Intel Corporation
The US Department of Labor certified 1,731 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. USCIS also records 1,112 H-1B approvals in FY2023. 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 Intel Corporation →
About the role
Job Details: Job Description: The Role and Impact As a Data Scientist, you will leverage your expertise in data analysis, predictive modeling, and coding to uncover actionable insights from structured and unstructured data. This role is integral to solving business problems, driving better decision-making, and enabling innovative solutions. You will design scalable data-driven applications, create visualizations, and communicate findings to diverse stakeholders, contributing directly to the organization's success. The role will focus on building AI-powered applications and agents for Finance. Business group The Finance Data and AI organization operates within Intel's Finance group, focusing on harnessing advanced analytics and artificial intelligence to drive financial decision-making and optimize business performance. This team plays a critical role in supporting Intel's broader goals by delivering data-driven insights and solutions that enhance operational efficiency and strategic planning. Key Responsibilities - Develop algorithms, predictive models, and applications to solve complex business problems using data science techniques. - Perform large-scale experimentation, statistical analysis, and interpret structured and unstructured datasets to derive meaningful insights. - Design and implement visualizations, dashboards, and presentations to effectively communicate data-driven findings. - Detect and correct data anomalies, ensuring high-quality datasets for analysis. - Develop and test LLM-powered applications and AI agents that connect to approved data sources and tools to support financial analysis and automate workflow steps, with appropriate validation and human review. - Collaborate with cross-functional teams to explore, compile, and analyze diverse big data sources, ensuring models are scalable and implementable. Partner with Finance experts to understand data, metric definitions, and business processes. - Drive the adoption of standard methodologies for coding, analytics, modeling, and experimentation within data science projects. - Troubleshoot service offerings using proprietary analytical platforms, commercial tools, and custom scripts. Qualifications: Minimum Qualifications - Bachelor's degree in a relevant field with 0-1 years of hands-on experience in the domain with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in a relevant field with no prior professional experience. - Proficiency in Python and SQL. - Knowledge of predictive modeling, machine learning algorithms, and statistical analysis techniques. - Understanding of big data frameworks and principles. - Hands-on experience building an application using a large language model (LLM), including integration through code with an API or model library, demonstrated through coursework, internships, or personal projects. Preferred Qualifications - Strong communication skills to explain complex findings in a clear and impactful manner. - Ability to work collaboratively in cross-functional teams. - Enthusiasm for learning and applying innovative data science methodologies. - Familiarity with retrieval-augmented generation (RAG), agent tool calling, or reusable AI components that accelerate application development. - Familiarity with data visualization tools like Tableau or Power BI. We are looking for talented individuals who are ready to take the next step in their career, develop their skills, and contribute to cutting-edge solutions in finance and analytics. Apply today to be part of a dynamic team that is shaping the future of decision-making at Intel. Job Type: College Grad Shift: Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Loca