Communication is key! As a data scientist, your stakeholders could be from a technical or non-technical background. Being able to explain the work you are doing in a clear and easy to understand way is really important.
Industry and academia have different drivers so a mix of both during a career is good. Industry always has the reality check of whether somebody will pay for your work which forces you to be efficient and scope your work so that some results are regularly delivered.
I was apprehensive about the culture change, moving from working independently on a self-driven project to working in a team-based, client-facing service role, but I’ve received excellent training and support, and have quickly gained confidence