[kovac]

The most common complaint I've heard from the data science team is that there isn't enough data to work with.

I'm not fully convinced that data science with ML and more modern techniques are applicable across domains out of the box. I think there is value to be added if data scientists can specialise in domains.

If we take humans as an analogy, even with the kind of general intelligence we have, we need domain expertise to be able to have advanced intuitions and make predictions about the future. I believe this is true for data science as well.