A LITTLE ABOUT US 🤔
From clunky apps to hidden fees, banking is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money — for the better.
Traditional banks are slow and expensive. Realistically, you’re nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this.
OUR CULTURE 👫
To put it bluntly — it’s about getting shit done and owning what you do. We don’t hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome.
We make mistakes, we learn from them and we back everything up with data and logic.
In three years, we’ve grown to over 700 people and we’re adding around 30 new additions each month. From engineers to marketers, we’re on the hunt for exceptional talent to help us scale our business and get Revolut in the hands of millions of people everywhere.
WHAT WE NEED 🚀
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.
WHAT YOU'LL BE DOING ✍️
The Product · Business · Engagement team is tasked with ensuring our business users are consistently engaged with our Business product. Our Business product is very similar to the retail product, but with a business twist. This makes it more complex and at the cutting edge of European B2B products. The team is full-stack and aims to work out what our customers want, present our product in its best light to the outside world, and find innovative ways to get people to signup. The team sits within the broader group of Business product teams.
You will sit within our Product · Business · Engagement team and you will be using data-driven solutions while collaborating with Product Owners, analysts and engineers in order to build strategy and make decisions. As a Data Scientist, you will conduct rigorous statistical analyses to understand the drivers of engagement and build systems to facilitate this.
Here are some of the things you will be working on:
Working closely with the PO and UX 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 business KPIs and analyzing them
Doing anything and everything that helps the team deliver the highest value
WHAT SKILLS YOU'LL NEED 📖
Proficient with Python and able to write clean understandable code
Excellent knowledge of SQL with the ability to write efficient queries
2+ experience in quantitative analysis encompassing data science or machine learning via internships or full-time roles
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
You’ll get to work in one of the hottest and fastest growing tech startups in the world right now
We’ll arm you with all of the latest tech equipment
Competitive salary & equity
29 days of holiday (excluding bank holidays)
Private pension plan
Free Revolut Metal subscription
Fresh juice & soda all day long