Tech Consulting Intern — Summer 2027

Ernst & Young; United States; Remote; USD 51,000 - 59,000; Full time

Job summary

Ernst & Young in the United States invites applications for a Technology Consulting Intern position for Summer 2027. You will gain hands-on experience supporting client engagements and learning how technology enables business transformation.

Be an undergraduate or first-year master's student with a foundation in computer science, MIS, data analytics, or related fields, and be prepared to work on-site at EY offices or client sites.

Qualifications

• Pursuing an undergraduate or one-year master's degree with a strong foundation in computer science, computer engineering, management information systems, data science, or data analytics.
• Ability to use firm-approved AI tools and exercise sound judgment around AI-related risks and considerations.
• Willingness to work in person on client sites or EY offices; travel may be required; roughly 3 days a week depending on engagement needs.
• Authorized to work in the U.S. without employer sponsorship now or in the future.

Responsibilities

• Support client engagement teams with business process documentation, budget analysis, root cause analysis, and business case development.
• Help drive transformation and innovation efforts to improve efficiency, growth, and risk management.
• Align and interview for one of EY's Technology Consulting practices (AI & Data, Platforms, or Technology Strategy and Transformation) based on skills and location.
• Collaborate with colleagues at EY offices and client sites to deliver value on engagements.

Skills

Analytical and problem-solving skills

Collaborative mindset

Growth-oriented

Education

Undergraduate or 1st-year master's degree in CS/CE/ MIS/ data analytics

Tools

AI tools

Job description

Ernst & Young in the United States invites applications for a Technology Consulting Intern position for Summer 2027. You will gain hands-on experience supporting client engagements and learning how technology enables business transformation.

Be an undergraduate or first-year master's student with a foundation in computer science, MIS, data analytics, or related fields, and be prepared to work on-site at EY offices or client sites.