I have an upcoming interview for the Data Science Consultant role at Simon-Kucher, and I’m looking for some insight into the interview process.

For context, I recently finished my MS in Business Analytics and have prior consulting experience focused on pharma commercial analytics.

Since this role sits at the intersection of commercial strategy and Data Science, I’m trying to calibrate my prep. Specifically, I’d love to know:

1. Case Mix: What is the balance between traditional pricing/market entry cases versus technical architecture or ML-focused case questions?
2. General Experience: How do SKP (or similar firms) test technical depth versus commercial translation?

Any advice, past experiences, or suggestions on how to best structure my practice this week would be hugely appreciated. Thank you!