Capital one phd Data science intern process

1) Application: Applied March 5th, recruiter replied on 11th asking details to confirm qualifications, got a DSA (Data Science Assessment via CodeSignal) immediately, complete within 2 weeks.

2) Assessment: 4 questions overall, 90 mins. 3 questions of DataFrame manipulation using pandas on a real-world tabular dataset fairly straightforward but can become medium difficulty under time constraint. For pandas questions practice from StrataScratch. The last question was open-ended implement a model meeting a desired performance threshold. Practice writing a simple pipeline: load dataset, train/test split, train model, evaluate. Scored in the competitive range. The OA can vary these are questions I encountered but be prepared for other variants.

3) HM Screening: Roug

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hitecture, agent design, and AI ethics. Utilize the prep resources your recruiter provides and ask what to expect this round can look very different depending on who interviews you.

Overall: Interviews are back to back and demanding. Schedule is provided the day before. Technical is not LeetCode style your recruiter will explicitly confirm this. The Ace the Data Science Interview book ML section is good prep. The best resource is your recruiter prep call use it.