KPMG Consultant interview experience

After an initial lead interview, I worked through two Jupyter-based take-home assignments: one focused on general data science concepts and the other was a more classic machine learning problem. It felt like they were testing whether I could translate theory into actual work, not just talk about it.

After I turned those in, I interviewed with the lead and then went into what I genuinely thought was the finish line—a team round. I found the discussion practical and aligned with how a team would evaluate fit and thinking. Only later did I learn there was one last step: a short technical round