Fantastic collaborative working environment. Vast resources available to grow and develop professionally, while delivering high quality value to our clients. Strong focus on people and our corporate values.
Cons
Entrepreneurial nature might not be best fit for everyone, need to be proactive to succeed. Work / life balance needs to be managed and prioritized at an individual level.
BCG Gamma definitely is a partner with the classic side. The team values your opinions and contributions and you have the ability to have an opinion on what direction things go. You’re not just a code monkey for consultants. You work on super high priority projects for Fortune 500 companies and generate a ton of value for them.
Cons
The work life balance can be bad. It depends entirely on your manager, but you’re always a roll of the dice away from having no life for the entirety of your next project (3-6 months typically). The data science work can get tedious. You get hired because there’s a problem they don’t know how to fix, so typically you can’t do anything advanced to solve the problem.
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Employee Review
Amazing work experience!
Oct 16, 2019 - Principal in New York, NYPros
Fantastic collaborative working environment. Vast resources available to grow and develop professionally, while delivering high quality value to our clients. Strong focus on people and our corporate values.
Cons
Entrepreneurial nature might not be best fit for everyone, need to be proactive to succeed. Work / life balance needs to be managed and prioritized at an individual level.
Other Employee Reviews
Great place to work
Aug 5, 2022 - Anonymous EmployeePros
The benefits are really top notch
Cons
None that I can think of
It’s what you expect
Jul 26, 2022 - Data Scientist in Boston, MAPros
BCG Gamma definitely is a partner with the classic side. The team values your opinions and contributions and you have the ability to have an opinion on what direction things go. You’re not just a code monkey for consultants. You work on super high priority projects for Fortune 500 companies and generate a ton of value for them.
Cons
The work life balance can be bad. It depends entirely on your manager, but you’re always a roll of the dice away from having no life for the entirety of your next project (3-6 months typically). The data science work can get tedious. You get hired because there’s a problem they don’t know how to fix, so typically you can’t do anything advanced to solve the problem.
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