Data Science Intern - Summer 2027
Posted Sep 17, 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 project, class or otherwise, where you used statistics or machine learning to answer a real question. What was the question and what did you find?
What they are checking: whether the candidate can apply data science concepts outside a textbook, not just recite theory
Tell me about a time you had to work with a team or stakeholders who had a different background than you, like engineers or manufacturing staff. How did you make sure you understood what they needed?
What they are checking: cross-functional collaboration skill, given the role sits inside a product development environment
Tell me about a time a project deadline was tight and your first analysis approach wasn't working. What did you do?
What they are checking: adaptability and time management under real deadlines, relevant to a fast-paced summer internship
What's something you learned recently on your own, outside of class, related to data science, AI, or engineering?
What they are checking: curiosity and self-directed learning, important for an intern expected to ramp up quickly
What would you do
Say you're given sensor data from a generator that's running in the field, along with test bench data from the lab. How would you think about combining or comparing those two sources?
What they are checking: comfort connecting product and operational data, since the role touches connected-product analytics
If you built a model that predicted product failures but it disagreed with what the reliability engineers believed from experience, what would you do?
What they are checking: how the candidate handles pushback and balances data-driven conclusions with domain expertise
How would you go about figuring out which factors are driving warranty claims or field failures on a product line, if you had access to manufacturing, test, and customer data?
What they are checking: ability to structure an open-ended analytics problem using multiple data sources
This internship is full-time on-site through the summer, with the chance of continuing part-time during the school year. How are you thinking about balancing that with your coursework or other commitments?
What they are checking: realistic understanding of the commitment and whether the schedule actually fits the candidate's life
About the work
Walk me through how you would clean and prepare a messy dataset before building a model. What do you check for first?
What they are checking: practical data-wrangling habits and awareness of data quality issues
What tools or languages have you used for analysis, like Python, R, or SQL, and what's a project where you leaned on one of them the most?
What they are checking: actual hands-on toolset versus a resume list
Explain a statistical or machine learning concept, like p-values or overfitting, the way you'd explain it to an engineer who doesn't do data science day to day.
What they are checking: communication skill and depth of understanding, since the posting stresses writing clearly for a technical but non-DS audience
Have you worked with CAD systems like Pro-E or AutoCAD, or with bills of materials? What did you use them for?
What they are checking: exposure to the engineering data structures this role's data will actually come from
Practice this interview out loud.
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Practice this out loudThe full job description
As published by Generac.