Apprentice of the Year
I began my consulting journey straight out of sixth form, with little understanding of the business world and no clear idea of how my skills would translate into real‑world impact. What I did know was that I loved mathematics, and that passion naturally drew me towards data science. I began my career working in the advisory and analytics team, specialising in data visualisation, where I quickly discovered a strength for turning complex information into clear, accessible insights, showcased by being the go-to dashboard developer for projects in the highways sector. As I progressed, I realised why consultancy suited me: I could adapt rapidly to new environments and take on responsibility early, which allowed me to use my technical expertise to deliver tangible outcomes, no matter the client I worked with. Meanwhile, I consistently collaborated with highly skilled colleagues, never feeling like an outsider despite being at an early stage in my career. Nearing the end of my apprenticeship, I became heavily involved on projects in the rail sector, eventually becoming a go‑to consultant for projects requiring specialised understanding of the rail domain, with a key example being my work to streamline the development of a rail analytics tool amongst a large project team. Recognising the value of my own apprenticeship experience, I shared my knowledge across the business and mentored the new cohort of data science apprentices, sharing my learnings and advice to help them become more successful consultants in the future.
View the profile in the MCA Members Directory.