Sarah James

Sarah James

Kubrick Group

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The reason I chose Kubrick over any other company was the training, coupled with the fact that no prior experience is needed to join. In just four short months, you cover so many topics and are given a well-rounded view of the tools and technologies that are currently in demand. The Machine Learning training for instance gives you a conceptual understanding rather than just theoretical, and I know this applies across all practices. It’s not just “do x and z will happen”, it’s “you need to do x because… and this is why we do it this way…”. This style of training helped develop my technical skills, team-work, and interpersonal skills, but also taught me how to approach a challenge head-on and see the bigger picture.

Prior to joining Kubrick, I worked in the Business Intelligence department of an International Business School.

I decided to pursue a career in data and technology as I wanted to do something that wasn’t repetitive or predictable. I find a lot of comfort in not being able to predict the types of projects I will be working on in a few years and knew I wanted a career that would stimulate my analytical mindset. As soon as the world of data and technology became known to me, I was certain I wanted to work within it.

The reason I chose Kubrick over any other company was the training, coupled with the fact that no prior experience is needed to join. In just four short months, you cover so many topics and are given a well-rounded view of the tools and technologies that are currently in demand. The Machine Learning training for instance gives you a conceptual understanding rather than just theoretical, and I know this applies across all practices. It’s not just “do x and z will happen”, it’s “you need to do x because… and this is why we do it this way…”. This style of training helped develop my technical skills, team-work, and interpersonal skills, but also taught me how to approach a challenge head-on and see the bigger picture.

In addition to the high-quality training, you get to work with FTSE100 organisations on their data and technology challenges after the four months and continue developing your skills through direct application over the next two years. This has been extremely valuable as these opportunities would not have been available without the training.

Lastly, the connections you make through Kubrick are invaluable. You will train with 25 or so people who are also at the beginning of their data and technology career, meaning you already have a strong network that you can reach out to when embarking on client projects. As well as your training cohort, you also have access to hundreds of Kubrick consultants that can offer additional support and guidance, plus the training team who are always available to help. Since going on site, I have remained close to numerous people from my cohort and have built relationships with other Kubrick consultants that are working on the same engagement and feel incredibly lucky to be surrounded by such a strong network on brilliant, diverse individuals.

In terms of client projects, I am currently working a piece around ethics in which I am looking to shape the regulations and guidelines around unstructured data within the clients’ practices. This is a topic I have been particularly interested in for a while and am passionate about, so am proud to contribute to a project like this!

The advice I would give to anyone a career in data or technology would be to do it. The industry is constantly growing and there’s so much to learn/so many directions you could take your career. If you do decide to embark on a career in this field, I would suggest staying on top of the most in-demand languages, current news, and who the disruptors are as it might be exciting, but it is fast-paced, and you will want to stay ahead of the curve.

I am so happy to be in the position I am today and am confident I would not be here without Kubrick. I would recommend them to anyone and strongly encourage anyone that likes a challenge, wants to make a genuine difference, and is excited by the future possibilities of data and technology to apply.

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