Data Science Product Owner

People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, our super app has helped over 20 million customers get more from their money. And we're not done yet.

As we continue our lightning-fast growth, we believe that two things are essential to continuing our success: our people and our culture. So far, we have more than 3000 people, based in 20 offices around the world, working on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.

We love data. We can’t get enough. It sits at the heart of everything Revolut does. We use it to build intelligent, real-time systems that personalise our product, tackle financial crime, automate reporting, track team performances, enhance customer experiences and so much more ?

We approach Data Science at Revolut the same way that we approach everything else. We take complex problems and create extraordinary solutions for them. All with data. From onboarding flows to product launches, we use it to inform and delight ? We build things that we actually want to use ourselves, because if you don’t want it, the customer certainly won’t.

We are looking for next-level Data Scientists to climb aboard the rocket ship and shape the future of financial services apps. It’s a big task. But you won’t be doing it alone. You’ll be working with the strongest professionals in Product, Design, Data Science and Engineering on projects which have direct customer impact and drive our company forward ⏩

• Producing machine learning and statistical models to identify trends in our existing customer base and drive lead sourcing focus

• Producing predictive models to identify and score high potential sales leads

• Testing and improving

• Conducting deep-dive analysis to really understand complex problems

• Previous experience in a Data Science or Machine Learning based role

• Previous experience owning a machine learning project end-to-end, from design to implementation and iteration

• Great skills with Python, SQL or other programming languages

• Hands on experience with Deep Learning related libs (e.g. TensorFlow, Keras, PyTorch)

• Knowledge of version control, model deployment, developer environments

• Evidence of strong mathematical & statistics knowledge

• Strong background / education in a quantitative discipline

• Provide insight and deliver measurable results for sophisticated products under ambiguous situations in a fast-paced environment

• BS/BA degree from a leading university/college a plus

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