Behavioral Interview: Conduct a behavioral interview to assess the candidate's soft skills, teamwork, and communication abilities. Ask about their experiences working on projects, handling challenges, and collaborating with others. Also, inquire about their motivation for pursuing a career in data science. Case Study or Data Analysis Exercise: Present the candidate with a real or simulated data science problem that they might encounter during the internship. Ask them to walk through their approach, explain their methodology, and interpret the results. This exercise helps evaluate their problem-solving skills and ability to work with data. Technical Interview: Conduct a technical interview where candidates may be asked to solve more complex data science problems, write code, or explain algorithms and models. Assess their understanding of machine learning, data preprocessing, and data visualization.