Vacancy guide checked 3 October 2026. EY’s Winter 2027 Data and Intelligence Delivery internship introduces applicants to analytics work within Assurance. The verified US vacancy, requisition 1746769, lists several office locations; this is not an unrestricted remote internship.
What the advert offers
The official Winter 2027 advert describes training followed by work collecting, combining and checking data, generating insights and supporting engagement teams. Listed pay is US$37.50–$48.08 per hour, depending on factors including location and education.
The requirements include a relevant bachelor’s or master’s degree, a 3.0 cumulative GPA, communication and critical-thinking skills, reliable transport, and willingness to travel or work additional hours when needed. Candidates must have US work authorization without employer sponsorship now or in future. Relevant fields include accounting, finance, information systems, business analytics and data science.
Dashboard, data-cleaning and project experience are among the preferred evidence. EY asks candidates to limit applications to two within six months. Check the live listing and its application-review guidance for timing; no fixed deadline is asserted here.
Prepare a data-quality example
Our preparation advice is to choose a project where the reliability of the input mattered. Describe what could have gone wrong, how you checked the data and how you explained the result. A chart alone does not show whether the underlying figures are trustworthy.
For example, you might discuss identifying duplicate transactions in a coursework dataset, reconciling totals between tables or documenting missing values. Explain the checks you actually performed. Do not present an illustrative exercise as work completed for a real client.
Keep technical detail understandable. State the question, tools, method and conclusion, then acknowledge limitations. If you used an AI tool, distinguish its suggestions from the analysis and verification you personally carried out.
Match evidence to the role
Review your CV against the advert’s requirements. A relevant module, student society responsibility or personal project can demonstrate useful skills when described accurately. Replace vague phrases such as “worked with data” with a specific action and a defensible outcome.
Before sharing a portfolio, remove private information and confirm that any source data can be redistributed. If a project belongs to a university group, explain your own contribution and obtain permission before publishing shared material.
Apply through the employer
Follow the official application link, confirm the office and season, and check practical transport and availability arrangements. Internship pay and conditions should be read separately from any benefits described for future full-time employees. An internship application does not guarantee a permanent position.
Keywords: EY Data and Intelligence Delivery internship 2027, Assurance internship, data analytics internship, Winter 2027 internship, data quality careers.
