QuantumBlack Reviews

* Compensation: uncompetitive and unfulfilled promises to make it better. Hard truth is that the very top of McKinsey cannot envisage paying technologists more than themselves. * Eroded culture: towards the end of my time there, the culture was heavily eroded by the huge influx of McKinsey consultants being shoe-horned under the QB brand. QB leadership replaced with McKinsey leadership. It's a shell of its former self. * Talent: Lots of the initial good talent has fled the company, including co-founders and those that joined in the early days due to the above. A marked decrease in the quality of new hires to replace them. Focus on diversity and inclusion over talent and ability.

This is both a pro and a con: as a client-facing data scientist, you will work extensively with non-technical McKinsey consultants and partners. This can be great to developing "both sides of your brain", as you need to get really good at communication for a non-technical audience. However, it can be quite frustrating at times because leadership doesn't always understand what data science is or what data scientists can do (their imagination can sometimes be stuck in the "business analyst world", even though they say they want advanced analytics). I think this is changing/getting better, but whenever things have been frustrating on a project it has tended to come out of a disconnect between the consultant and data scientist worlds on a project.