Do you also often deal with problems that turn out to be some kind of constrained optimisation problems?

I've been working in the role of a data scientist for about 3 years at a large corporate. My training is as a physicist. I'm often involved in early stage proofs-of-concept for different departments so we're often in exchange with "innovation managers" whose role is to find use cases for "AI", as they call it. As a result, I often get pitched ideas for new projects from those managers.


Now, upon closer inspection, many of these problems involve, at their …

concept corporate data datascience data scientist deal early stage innovation kind managers optimisation role stage training