data/AI consultant vs product based data scientist

How does the role of an AI/Data consultant differs from the role of a data scientist in a product-based company? 

I am posting this question and I would like to understand the different in order to weed out some of the AI consultant jobs openings that I am looking at. I am trying to understand the difference. There is so much information and variations of information. I am having hard time deciphering basic points. 

Some of the understanding that I have (if I am wrong please correct)

-AI/ Data consultant can work on various projects for various background increases their breadth and not necessarily depth where as data scientist in product based focus on one product that the company is working on until the product is launched and succeeded. So, they get depth and maybe less breadth.  Also with that Consultant in AI/Data firms job might more a plan from data they recieved from the client and offer their suggestions but not a guarantee the client will listen. The data scientist is responsible for providing answers to help launch and follow thorough until the product has been launched. 

Is this correct? do you have more you add? Or point an article that discusses the basics.