CAREERS

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Data Scientist at Revolut
London, GB

DESCRIPTION

A LITTLE ABOUT US

 

From clunky apps to hidden fees, banking as we know it 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.

 

We’ve signed up more than 1.5m customers without spending a single penny on marketing. It’s simple really: if you solve an everyday problem, you don’t need to spend a gazillion dollars on fancy marketing campaigns.

 

 

 

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 two years, we’ve grown to over 350 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.

 

 

 

We are looking for Data Scientists who know how to solve the big problems with the right solution.

 

WHAT YOU’LL BE DOING

 

Deliver real impact to the product through rigorous data-driven solutions

Researching and building productionisable models with or without machine learning

Collaborating with product owners, engineers and data scientists to improve data infrastructure and contribute to a seamless research platform

 

 

REQUIREMENTS

WHAT SKILLS YOU’LL NEED

 

Bachelor’s/Master’s/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)

Fluency in SQL and Python

Deep understanding of fundamentals of probability and statistics

Big picture thinking - correctly diagnosing problems and productionising research

Databases: SQL {Exasol, PostgreSQL, BigQuery}, NoSQL {DataStore, CouchDB, Redis}

Preferred:

Production: Docker, K8s, Multi-threading

Cloud: GCP

DOMAIN KNOWLEDGE

 

If you have expertise in one of the following, awesome!

 

Fraud Detection

Anti-money Laundering/CTF Risk

Monetization

Engagement and User Activation

Finance

Credit Risk Modelling

Productionising models (also check out our Data Engineer role!)

BENEFITS

We’ll arm you with all of the latest tech equipment

Competitive salary

Private pension plan

Free Revolut Premium subscription

Free dinners

Perkbox




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