Data, Diversity, and Determination: Oluwatomi's Apprenticeship Journey

In celebration of pathways into tech and the importance of representation, we’re shining a light on one of our Data Science degree apprentices, Oluwatomi, and her journey into the world of data.

Choosing an apprenticeship over a traditional university route, Oluwatomi is combining academic learning with real-world experience, building technical skills while contributing to meaningful projects from day one. Her story highlights not only the opportunities that apprenticeships can offer, but also the importance of visibility and inclusion in shaping the future of the tech industry.

What inspired you to pursue a Data Science degree apprenticeship, and how did you first become interested in data or technology?

I’ve always been interested in programming; it was my favourite part of studying computer science in high school. Later, during A-level Mathematics, I discovered that I really enjoyed statistics as well. With both of these interests in mind, I started researching future career paths and came across data science, which felt like the perfect combination of the two. I spent more time researching the field, reading online forums, and watching videos from data scientists. The more I learned, the more certain I became that this was the career I wanted to pursue. Then, towards the end of year 12, I realized that the traditional university route wasn’t the best fit for me, and when I discovered degree apprenticeships, it felt like an obvious choice. The opportunity to learn while gaining real industry experience made it a no-brainer.

What does a typical day look like for you as a data science apprentice, and what kinds of projects are you working on?

As a Year 1 data science apprentice, I usually start my day by spending around an hour on personal development. This might involve working on university coursework or keeping up to date by reading articles on AI and data. The rest of my day is typically spent working on my current projects or attending meetings. Currently, a lot of my work involves using data to support our Cities team with preparing for city bids. As the apprenticeship involves rotating placements, I expect my day-to-day work to change significantly when I move into my next six-month placement.

How important is representation for Black women in data and technology, and what has your experience been like entering the industry?

Representation is incredibly important. Growing up, there were very few female role models I could look up to in technology, as the industry is still heavily male-dominated. In my computer science class, I was one of only two female students and the only person of colour, which could easily feel isolating. Experiences like this can be especially off-putting for Black girls who are interested in tech or data, and that’s something we need to change. Since joining E.ON, my experience has been much more positive. I’ve been surrounded by inspiring women in tech and data who are doing amazing work and seeing them succeed in this space has been incredibly inspiring and motivating. I hope that, over time, I can also become a source of inspiration for other women considering a career in this field.

Where do you hope your career in data science will take you over the next few years?

Over the next few years, as I rotate around different areas of the business, I hope to gain as much knowledge and experience as possible—both technical and non-technical. Coming straight from sixth form into the industry has shown me how important skills like communication and stakeholder engagement are, particularly when explaining complex technical work to non-technical audiences. As I progress through my apprenticeship, I hope to become more confident in presenting my work, contributing new ideas, and delivering meaningful projects. Ultimately, my goal is to grow into a role within E.ON that I find both challenging and rewarding.

What advice would you give to young people, especially girls or those from underrepresented backgrounds, who are considering a career in data science or tech?

My advice would be simple: go for it. Often, even if there isn’t direct discouragement, there also isn’t enough encouragement for young people, especially those from underrepresented backgrounds, to consider careers in tech or data. If you have an interest in it, you are more than capable of succeeding.

Data science is challenging but also creative and rewarding, and there’s nothing more fulfilling than seeing something you’ve built make a real impact. Don’t let a lack of representation or confidence hold you back; there is space for you in this industry.

Representation in action

Careers like Oluwatomi’s are a powerful reminder that there’s no single route into a successful career in tech. Apprenticeships are opening doors, creating opportunities to learn, grow, and make an impact from an early stage.

Representation matters and by sharing experiences like hers, we hope to inspire more young people, especially those from underrepresented backgrounds, to see themselves in data and technology.

Whether you’re just starting to explore your options or already considering a future in tech, her message is clear: there is a place for you in this industry and the possibilities are just getting started.