Data Scientist (NLP Deep Learning Engineer)About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 45+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the roleWe have 300 people within the Data Team at Revolut. They're a mix of Data Scientists, Data Analysts, Machine Learning Engineers, and Computer Vision Engineers - working across a wide variety of problems in the business. Our Data function does have centralised leadership, but you will be spending the majority of your time embedded into multidisciplinary product teams, comprised of Product Owners, Software Engineers, Data Analysts & Operations Managers working together to solve problems that impact millions of Revolut customers.
We start with deep data analysis to understand our customers, their objectives, and any issues they might have. We then use various data points and advanced machine learning algorithms to come up with the best possible option for each client. We experiment, iterate, and build fully automated solutions based on algorithms which self-improve with time.
We are looking for a talented Data Scientist to join our team and help us create the future of financial services apps. You will be working together with the strongest professionals in Product, Design, Data Science, and Engineering on the projects which have direct customer impact and drive our company forward.
What you'll be doingBuilding an in-app personal assistant from scratchWorking on user-focused featuresDelivering real impact to the product through rigorous data-driven solutionsCollaborating with product owners, engineers, and data scientists to continually solve complex data problemsWhat you'll needExperience in Deep Learning within Natural Language Processing area and Large Language ModelsA Bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig picture thinking to correctly diagnose problems and productionising researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveStrong experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/University Olympic medal competitions in physics, maths, economics or programmingCompensation rangeOther locations: Compensation will be discussed during the interview process*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience
Get what you need to succeedFinancial benefits that show we value your workFlexibility to work from home, the office or abroadA free Revolut Metal subscription loaded with perksExciting events year-round so you can get to know your team
#J-18808-Ljbffr
