Enterprise Program Management Office (EPMO) Internship Summer 2027
Posted Sep 1, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a data science project you've done. What question were you answering and what did you find?
What they are checking: Whether they can frame a real question and connect their analysis to a useful answer.
Tell me about a time you worked with people outside your major on a project.
What they are checking: Whether they can collaborate with non-data people, which is most of the audience in an EPMO.
Why might a data science intern be useful to an aerospace and energy company's program office?
What they are checking: Whether they have thought about how their skills fit Woodward's business and not just data work in general.
What would you want to have built or learned by the end of the summer?
What they are checking: Whether they come in with clear goals and the drive to make the internship count.
What would you do
You build a dashboard and a manager says the numbers look wrong. What do you do?
What they are checking: Whether they check sources and logic calmly and take the concern seriously rather than getting defensive.
You find a pattern in the data that suggests a popular program is falling behind. How do you raise it?
What they are checking: Whether they share uncomfortable findings with care and evidence rather than hiding or overstating them.
About the work
A program management office tracks many projects at once. What data would you want to tell which projects are at risk?
What they are checking: Whether they can think about schedule, budget and milestone data as signals of program health.
Walk me through how you clean a messy dataset before analyzing it.
What they are checking: Whether they handle missing values, duplicates and inconsistent formats carefully instead of trusting raw data.
What tools have you used, like Python, SQL, Power BI or Tableau, and which are you strongest in?
What they are checking: Whether their tool skills match what they would actually use in this internship.
How would you explain a regression or forecasting result to someone without a statistics background?
What they are checking: Whether they can make findings understandable and useful to business and program leaders.
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Practice this out loudThe full job description
As published by Woodward.