At Blue Light Card, our members are at the centre of everything we do. The Data Scientist team builds the algorithms and models that help us understand member behaviour, anticipate their needs, and keep our members engaged with the platform.
We’re looking for a Data Scientist, Decision Sciences, with a focus on retention and member engagement. You'll evaluate pipelines and results of retention models and identify improvements in outputs to improve the retention strategy. You'll partner closely with stakeholders across the organisation, translating complex questions into well-designed solutions, and communicating your findings in ways that land with both technical and non-technical audiences alike.
Our mission is simple – make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service.
We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special.
We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve.
We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers – either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team. We aim to be flexible, but we aren't able to offer fully remote working.
Blue Light Card is an equal opportunities employer. We believe that employing a diverse workforce is key to our success. We make recruiting decisions based on your experience and skills. In the event of a high number of applications, we'll prioritise candidates who meet both the essential and desirable criteria for the role.
