Data Science Intern (Credit Scoring) practice interview
Preparing lending data, evaluating credit models and checking whether predictions are useful, fair and explainable. Practise the 5 questions interviewers ask for this role with follow-ups. Paid plans add scored feedback on every answer.
Free with an Intaviu account: 320 credits a month, at 10 credits a minute of practice. Private: interview creators never see them.
- Entry
- 15 minutes
- 5 questions
- Scored feedback on paid plans
About the role
This internship interview covers the data work behind lending decisions. The panel is looking for careful data preparation, sound baseline modelling, meaningful evaluation and awareness that credit predictions affect real applicants.
How to prepare
- Revise train and test splits, class imbalance, overfitting and common classification measures.
- Practise checking a lending dataset for leakage, missing data and inconsistent definitions.
- Prepare a project where you made and defended a modelling choice.
- Think about the different costs of approving a risky borrower and rejecting a reliable one.
- Review ways to explain model limits and possible bias to non-technical colleagues.
Common mistakes
- Choosing a complex model before establishing a transparent baseline.
- Quoting accuracy without considering imbalance or the cost of different errors.
- Using information that would not be available when a real lending decision is made.
What to expect
A real first-round interview
5 questions the way interviewers ask for this role, with follow-ups when an answer needs more.
Spoken, like the real thing
Speak your answers in your browser or the free desktop app, with live captions. You can ask the interviewer to repeat anything.
Scored on 4 areas
The things this interview weighs most. With a paid plan, your report shows how you did on each one.
A private report
On Plus, Pro and Premium: every answer scored, your strongest lines quoted and what to say differently next time. Interview creators never see it.
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