IBM Data Science Intern interview questions

Relatively short process considering what I usually hear about IBM's recruiting. I applied on the 26th of October. On the 9th of November I received an email about a cognitive assessment and two days after an email about a coding assessment. Since I originally applied for the Cognitive Developer Internship, I had a REST API problem and a data mining problem. So study the requests package and the pandas package if you're in the same boat. If you originally apply for a Data Science Internship, however, you'll have an SQL problem and ML problem which can easily be completed with the scikit-learn package. After not hearing anything for 3 weeks I contacted IBM Opportunities and was forwarded to the concerned recruiting team with whom I scheduled a phone interview with. The initial phone interview with a recruiter was a breeze. I just spoke about my education, motivations, and briefly explained a recent relevant project. A week after, I had a video interview with an actual IBM Data scientist. We walked through two of my recent projects with them. Much more technical than with the recruiter. I then had to answer some coding questions over a shared document related to pandas. Finally, I had two technical questions and after an hour the interview was over! 3 hours later, I received an offer!

The interview process consisted of both technical machine learning questions (basics), soft skills like being able to make presentations and being able to understand and acquire information quickly and effectively.