The interview consisted of three sections, each with 30 multiple-choice questions: data science, statistics, and behavioral questions. The data science part covered machine learning models, handling categorical data, and scenario-based problem-solving. The statistics section focused on calculating measures like mean, and other key data science concepts. Finally, the behavioral questions assessed soft skills and team-fit. Overall, the interview was thorough, testing both technical skills and problem-solving. I recommend reviewing core data science concepts and statistics for preparation.