28-month graduate scheme with 13 weeks of in-person classroom-based training followed by projects on client sites over the course of 2 years.
Fully paid from day one, with bonuses in your first and second years, plus we pay for your certifications too.
Your first 13 weeks will be in Wimbledon in our head offices, in the classroom, Monday to Friday 9-5(ish). There is some study time and a WFH day built into that too.
When you are on client projects this can vary, with most within the M25 but some further afield. When looking at who is the right person for a client project, we look at your skills and strength areas and consider your personal situation too. But the more flexible you are the more options open to you.
Throughout the year, with intakes pretty much every month, we are super flexible. Each intake is no more than 24 people, as small class sizes equal a better learning experience and more support.
Everyone please! Our only one criteria is that you are a graduate but this can be in any subject, from any university, with any grade. We are looking for individuals with an interest in data, keen to learn more and a can-do attitude.
Not at all, you may think Python is just a type of snake but no fear, we will bring you up to speed. We want passionate people who are keen to learn and try new things.
Yes, apply when you are ready to do so. We never stop recruiting and speaking to great people so whether you can start next week or in 12 months’ time, we’d love to chat.
The curriculum covers a broad range of data topics, from Excel, SQL, Python and web scraping to architecture skills, data governance and GDPR. We also provide training across key areas of business acumen, such as project management, presentation skills and communication and influencing. You’ll be coding, presenting and sometimes even rapping!
A lot of our clients are London based, or within the M25, so commuting from the London area should be pretty straightforward. We do have clients across the rest of the country and we look at who is the right fit for that opportunity, firstly their skill set and expertise and then what makes the most sense location-wise.
