The data science interview process typically starts with an HR or recruiter screening to assess your background and communication skills, followed by a technical screening that may include Python or SQL coding tests. Next, you may face a technical interview or case study focused on data analysis, machine learning models, and evaluation metrics. After that, you'll often be asked to discuss your past projects, explaining your approach to data cleaning, modeling, and interpretation. A behavioral or cultural fit interview may follow to evaluate your teamwork and problem-solving mindset. The final round may involve a managerial interview or business case to assess your long-term fit with the company.