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Tax - Tax Technology and Transformation; TTT; FSO - Tech Advisory - Intern - Summer

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Ernst & Young Oman
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 74980 - 93995 USD Yearly USD 74980.00 93995.00 YEAR
Job Description & How to Apply Below
Position: USA - Tax - Tax Technology and Transformation (TTT) - FSO - Tech Advisory - Intern - Summer 2027

USA
- Tax
- Tax Technology and Transformation (TTT) - FSO
- Tech Advisory
- Intern
- Summer 2027

CA-Los Angeles, IL-Chicago, NC-Charlotte, NY-New York, TX-Dallas

USA
- Tax
- Tax Technology and Transformation (TTT) - Financial Services Organization (FSO) - Technology Advisory
- Intern Summer 2027

Will you shape the future or will the future shape you?

The Opportunity

Join our dynamic EY Tax team, where our global expertise and deep technical knowledge across all tax disciplines are enhanced by the latest in innovation and cutting‑edge technology. We pride ourselves on exceptional client service, strong accountability, and governance, making us the top choice for industry executives and the largest revenue‑generating US and global tax practice.

Our Tax Technology and Transformation (TTT) team offers services to enhance the operational efficiency of tax functions and the delivery of technical services, supported by a team of over 1,200 professionals. Our core focus areas include transforming tax functions, integrating with finance and business processes, and optimizing enterprise systems, all bolstered by strategic alliances. We aim to revolutionize tax and finance operations through strategy development, digitalization, and leveraging technology to automate compliance, reporting, and provide valuable insights to our clients.

Your

Key Responsibilities

As a Technology Advisory Intern within FSO TTT, you will help financial services organizations transform their tax functions through technology‑enabled solutions, data‑driven processes, automation, analytics and emerging technologies. FSO TTT embraces a “Forward Deployed Engineer” model to bring the right mix of technology skill sets to our clients to best integrate and update their processes with AI.

You will learn how technology is reshaping the tax function and how to become a trusted advisor who can translate business needs into practical technology solutions. You will work with teams that design, build, configure, test and support tools and processes that help clients improve data quality, automate manual work, generate insights and manage complex tax workflows. You may participate directly with clients in strategy meetings, requirements sessions, demonstrations and workshops.

Our clients are located nationwide, so travel may be a part of the role.

Your day‑to‑day responsibilities as a Technology Advisory Intern in the FSO TTT practice may include:
  • Supporting the design, configuration, testing and implementation of tax technology solutions, applications and data‑enabled processes.

  • Exploring opportunities to streamline repetitive processes through automation, workflow tools, data transformation and emerging technology solutions.

  • Assisting with data acquisition, cleansing, transformation, integration and analysis to support tax reporting, compliance and advisory processes.

  • Developing and enhancing reports, dashboards and analytics that improve visibility into client processes, risks, status and opportunities.

  • Providing project support to team members, including documenting requirements, tracking tasks, preparing deliverables and helping ensure timely project execution.

  • Investigating and applying cutting‑edge technologies, including generative AI and machine learning, to support relevant business cases, prototypes and client solutions.

Skills and attributes for success

To qualify for the role, you must have:
  • A predicted undergraduate or graduate degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Statistics, Mathematics, Machine Learning, Engineering, or a related technology‑oriented field; or a business, accounting, finance, or economics major and a double major/minor in a technology‑related field, supported by a strong…

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