Pros
Many interesting problems to work on, especially if you can work with different business units. The people you work with are good people. The kinds of projects you work on are useful to show your data science ability. Work life balance is a huge plus, as people are flexible about when and where you work. However, this is dependent on division and not universal across the company.
Cons
Senior and general management knows next to nothing about data science. The management is toxic, arguing amongst themselves in front of employees for hours, trying to take over other team’s projects, and trying to market themselves to their VP while putting others down. The constant reorganizations (at least once per year) is incredibly exhausting. Teams are also not given what they need to actually perform projects - the IT securities are incredibly overreaching to the point that any new idea and new testing takes months to actually achieve even though you are using the exact same technology products that other internal teams are using. Promotions are based on length of time in the company instead of contribution and capabilities. Compensation is towards bottom quartile for the industry.