Good - Sales Development Representative (SDR) Growth Intelligence Employee Review

Growth Intelligence is a brilliant place to develop as a data scientist. One of the key reasons for this is that the company has initiatives designed to encourage learning at all levels of the organisation, including a personal learning budget; protected learning time; hackdays; internal tech talks; a journal club; and an ever-growing library of textbooks. As a data scientist at Growth Intelligence, you’re part of a team that is building a machine learning product which solves complex business challenges and delivers huge value to large enterprise businesses. This provides an opportunity to get close to our clients, understand their challenges and see projects through from end-to-end, which I find incredibly rewarding. The data science team is fairly small which provides the opportunity to work on a variety of different problems. Responsibility is given very early on and you’re able to work independently and really feel like you’re having an impact on the team and company. The team at Growth Intelligence are supportive and collaborative. The company promotes a great culture through providing company updates every other week, quarterly team dinners, bbq's in Highbury Fields and we tend to have lunch together most days too.

Growth Intelligence is a small but ambitious company, this means the focus is on work that will have the greatest impact on the business and our clients. This means there aren’t really the resources to be able to go off on a tangent and get lost in the newest technologies within your day to day work. Growth Intelligence doesn’t currently have a need for specialist data science roles, we all work on everything. So it wouldn’t be a great fit for someone who wants a very specific focus.

Growth Intelligence was a great place for me to develop as a Data Scientist. I got to work on a variety of interesting problems beyond machine learning on tabular data (eg. NLP, data matching, geospatial analysis) and I learned a lot of practical skills (e.g. how to make impact with DS/ML, project/stakeholder management, leadership, etc..). I had a manager who really cared about me and my career development and I was able to maintain a really good work-life-balance. The culture within the data science team was always very friendly and inclusive (in my time we grew from 3 to 8). Culture in the company as whole was also very supportive and collaborative. Regular company updates and get-togethers (virtual or real life) made you feel included and part of something even during the pandemic when everyone was working from home.

None that I can think of.