Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Data Scientist, FinCrime ยท Computer Vision at Revolut
London, GB
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.
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.
We are looking for extraordinary Data Scientists/ML Engineers with proven experience in developing computer vision and NLP systems for document classification. As the first members of the Financial Crime - Automation team, you will be leveraging your skillset to build proprietary solutions for automated recognition and parsing of customer documents and images. You must be comfortable with implementing end-to-end solutions and collaborating with product owners, engineers and data scientists to improve data infrastructure and contribute to a seamless research platform. 
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
2+ years of experience in optical character recognition/computer vision (NLP is a plus)
Proven experience in developing Python applications
Excellent knowledge in SQL
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}
Production: Docker, K8s, Multi-threading
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
Free dinners
Fresh juice & soda all day long

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