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Data Scientist, Retail · Growth at Revolut
London, GB
Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our 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 our world class data department.
Our Data Scientists are responsible for applying scientific methodology, statistical inference and offline machine learning models to drive business decisions. They have strong backgrounds in statistics, applied mathematics, and computer science with the ability to write clean and operationalizable code. They are also creative, inquisitive and exceptional communicators with an aptitude for uncovering hidden patterns.
We are looking for Data Scientists who know how to get the most out of the product and help make the right decisions with the data.
The Product · Retail · Growth team is tasked with understanding our user profiles and understanding the target audience in order to build solutions for rapid growth in our global markets. Our retail product will be extended to service America, Canada, Australia, Singapore, Japan and many others on top of our existing European market. To keep us at the frontier of financial technology solutions in these markets, we need to create innovative high-growth strategies. Our Retail · Growth team is full-stack and operates with the sole focus of continuous acceleration in acquiring quality users on to Revolut’s retail product.
You will sit within our Product · Retail · Growth team and you will be collaborating with Product Owners, analysts and engineers in order to develop data driven solutions to acquire users. As a Data Scientist, you will conduct rigorous statistical analyses to understand the drivers of growth and build systems to facilitate this.
Here are some of the things you will be working on:
• Working closely with the PO and UX team on building strategy and making decisions
• Building complex models to identify patterns, correlations and causal relationships in user behaviour
• Designing and conducting A/B experiments with statistical rigor: hypothesis tests, significance, validation, and conclusions
• Extracting and presenting new insights from data, making product proposals and answering critical business questions
• Building automated reporting on our main retail KPIs and analyzing them
• Doing anything and everything that helps the team deliver the highest value
• Proficient with Python and able to write clean understandable code
• Excellent knowledge of SQL with the ability to write efficient queries
• 2+ years experience in quantitative analysis encompassing data science or machine learning via internships or full-time roles
• 2+ years experience in building data-driven growth strategies resulting in high sustainable growth
• Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
• Excellent communication skills and an innate ability to tell stories with data
• Quick learner with a proactive and ambitious mindset to own and drive analytical projects
• Striving to work beyond direct responsibilities to develop the team
We 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. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.
We reached 4 million customers in February 2019 and we’re adding another million every quarter.
And we’re only just getting started.
Come and help Revolut build the world’s first truly global bank.
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. We thrive with the space and responsibility to solve problems.
You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.
You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.
And you share our mission to improve people’s relationship with their money.
• Competitive salary
• Biannual equity bonuses
• All the latest tech you need
• Skip the commute and work from home once a week
• Roll with a free Revolut Metal subscription
• Pension plan
• Private health insurance
• Don’t panic about cooking: get free dinners with Deliveroo
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks on tap
• Rest up with 29 days’ holiday per year

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