How to protect data from internal data scientists? In our company we want to protect data privacy internally. Meaning, we want to find a way to anonymize the data so the data science team members cannot expose it and yet still can use it for modelling. 

I googled and read about Pseudonymization. But I mean, is it destroying the data? I didn't find any reliable source using it practically.
You could checkout the OpenMined Pysyft library which is a library for encrypted, privacy preserving deep learning built over Pytorch. PySyft decouples private data from model training.

Github link to the Pysyft library - https://github.com/OpenMined/PySyft