Data Scientist
Published: 1 month ago
Revolut
Global money app
Job Location
Job Type
Full TimeVisa Sponsorship
Not AvailableRelocation
AllowedHiring contact
Nikolay StoronskyThe Role
We are looking for Data Scientists who know how to solve the big problems with the right solution.
What you'll be doing
Delivering 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
WHAT YOU'LL NEED
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
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
Preferred:
Previous Experience: Quantitative Research {Finance, Credit, Risk}, NLP {chatbot}
A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with card transactions abroad without rubbish exchange rates or hidden fees. We’ve since added business accounts, vaults, insurance and even access to cryptocurrency exposure.
We reached 5 million customers in June 2019 and we’re adding another million every quarter.
WHAT WE 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. 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.
THE BENEFITS
• Competitive salary
• Biannual equity bonuses
• All the latest tech you need
• Medical insurance
• Skip the commute and work from home once a week
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks on tap
Please only submit an application for one posting.
What you'll be doing
Delivering 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
WHAT YOU'LL NEED
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
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
Preferred:
Previous Experience: Quantitative Research {Finance, Credit, Risk}, NLP {chatbot}
A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with card transactions abroad without rubbish exchange rates or hidden fees. We’ve since added business accounts, vaults, insurance and even access to cryptocurrency exposure.
We reached 5 million customers in June 2019 and we’re adding another million every quarter.
WHAT WE 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. 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.
THE BENEFITS
• Competitive salary
• Biannual equity bonuses
• All the latest tech you need
• Medical insurance
• Skip the commute and work from home once a week
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks on tap
Please only submit an application for one posting.