Process was concerned mainly with asking about fundamentals about Data Science. Know your Supervised vs Unsupervised algorithms and the use cases for each. Be ready to discuss related side projects as they are looked upon well in the process.

I experienced three rounds of interviews and one online project. The interview was heavily focused on traditional machine learning (regression) and statistics, also requires some basic information of banking. The project was a predictive modeling project that requires some data cleaning and feature engineering skills.