Threr are 2 rounds for the DSLDP intern interview. For the second round with the senior data scientists, it’s usually structured into three parts, each around 10–15 minutes. One part is a discussion of your past experience, where they’ll ask about your projects but not go extremely deep, it’s more about understanding what you worked on, what kind of data you used, what models you applied, and your overall impact, so just make sure you can explain things clearly end to end. Then there’s a technical part, which is typically quite foundational, they might ask things like how you handle missing values, when to use median vs mean, differences between models like XGBoost and linear models, and they may also give you a simple data scenario and ask how you would approach cleaning or analyzing it, for example identifying inconsistent formats or obvious outliers. From my experience there is no live coding, everything is discussion based. The last part is behavioral, covering common questions like why this company, why this role, and your future plans, and at the end you’ll usually have about 5 minutes to ask them questions.
My biggest advice is just to be confident and be yourself, they care more about how you think and communicate than whether every answer is perfectly correct, so even if you’re unsure about something it’s totally fine to say that and talk through your thought process.