Luna is currently on our Data and Analytics Graduate Programme, using her passion for mathematics to gain invaluable experience in different Data teams across our business.
Hi Luna, tell us a bit about yourself.
I have always had a passion for maths, which led me to pursue a degree in Mathematics at the University of Leeds. I found myself fascinated by statistics and started using data analysis tools such as Python and R. To enhance my skillset further and focus on data-related fields, I completed a master’s degree in Computer Science. During my masters, I found myself immersed in the world of big data, gaining profound insights and willing to make impactful contributions. This journey landed me on the Data/Analytics Graduate Programme in Admiral UK, where I am enhancing my skills to craft models and devise software solutions that help people shape their future. The scheme offers three placements, each eight months long, providing me with support, expertise, and numerous opportunities to further explore data-related fields at a growing FTSE100 company.
Tell us about your journey in Admiral so far? How has Admiral helped support and empower you in your career?
My first placement was in a data team at Admiral Money, focused on lending products. I played a pivotal role in various project aspects, from data analysis to model development. The experience enabled me to apply theoretical knowledge to practical scenarios. This flexibility not only increased my motivation and engagement but also allowed me to better perform my role and deliver impactful results.
I am currently in my second placement in the Telematics department. In this role, I oversee data visualisation and manage the automatic updates for our management information packs.
What advice would you give to women in data?
At Admiral Group, I believe women in data roles are empowered. It is a place to shine and advance your career. The women’s support networks across the business such as our Women in Tech forum, ensure colleagues have access to a supportive community and have opportunities for professional growth. I would encourage everyone to continue learning, volunteer for hands-on project experience and utilise your networks. Attending internal data skills training and applying these learnings to my role has been a catalyst to my success.
