Data sits at the heart of Revolut and plays a uniquely crucial role in what they do. With data, they build intelligent real-time systems to personalize their product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.
Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join their world-class data department.
About The Role
They have over 60 Data Scientists and Machine Learning Engineers globally, with projects across fraud prevention, anti-money laundering, finance, NLP, computer vision, growth, engagement, and customer experience to name a few.
As Head of Data Science for Revolut, your mission will be to define the direction, structure, processes, and standards for Data Science across the company, so that every department that relies on data science can benefit from the full potential of the world-class AI and ML talent in the team.
You will report to their CEO and become the central point of leadership for this rapidly growing team.
What You’ll Need
a Little About Them
They believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with fee-free card transactions abroad. They’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.
They reached 10 million customers as we rolled into 2020 and they’re adding another million every quarter.
And they’re only just getting started.
Come and help Revolut build the world’s first truly global bank.
What They Are Looking For
From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.
You can work autonomously and take ownership. They thrive with space and responsibility to solve problems.
You operate best without lots of bureaucracy. They don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.
You approach work in a logical way. They are not afraid to make mistakes but we use data and logic to back up decisions and improve understanding.
And you share their mission to improve people’s relationship with their money.
The Benefits
