[doug1001]

i'm not a data scientist, but i have several on my team. In my experience,(as your question suggests) the interest is quite low, particularly given how much knowledge is required to do so that would otherwise be out of scope

building the model and packaging it for deployment are two completely different sets of tasks, are they not?

much more useful, again in my experience, is a tool like vagrant, which allows a production environment to be provisioned onto a VM; said VM is then run from the data scientist's desktop (eg, so they can do their work with the same versions of the same tools available in prod)