Wise is one of the fastest growing companies in Europe.

Current banking systems don't let us send, spend or receive money across borders easily. Or quickly. Or cheaply.

So, we're building a new one.

We're on a mission: to make money without borders the new norm. We've got 15 million customers across the globe and we're growing. Fast.

We're creating a scalable, high performing platform for our customers. And we need smart graduates to join us in our mission.

At Wise you'll work on challenging technical problems across the full product life-cycle and you'll build systems that give our customers a great experience.

How you'll contribute to our team of data scientists:

• Help take Wise to the next level as we scale to impact 100's of millions more customers
• You will help analysing data that will help us prioritise the most customer significant changes in the product
• Participate in building the most advanced machine learning based solutions to help us scale

This role will give you the opportunity to:

• Choose your path to impact. We believe people do great things when they can act autonomously. So, instead of being told what to do, you'll work with your team to create a vision of your own. You can always gather feedback from smart, curious people across Wise, but you'll have the freedom to make your own calls
• Be flexible in how and where you work. We understand everyone needs a little something different - so we'll do our best to make it happen
• Travel (when things go back to normal) to work with our teams in different locations. You'll also meet various partners and organisations when needed
• Inspire teams with your ideas, knowledge and self-starting attitude

What does it take? These things are a must:

• You are a final year student studying a Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject
• You are able to start a full time graduate job in September 2023
• Knowledge of computer science and machine learning fundamentals including data structures, algorithms, data analysis, linear algebra and statistics
• Understanding principles of machine learning
• You should have a good command of Python 3 and SQLand be familiar with major data analysis and ML frameworks
• A self-started side project(s) that you are proud to talk about
• Great communication skills and the ability to articulate complex, technical concepts to a non-technical audience
• Curious, keen to learn and proactive by nature
• You are open to and value feedback in order to improve
• Eligible to work in Tallinn

And these would be great, but aren't essential:

• Experience in training deep neural networks
• Experience in applying machine learning methods to real-world problems
• Familiarity with TensorFlow 2 and/or PyTorch
• Familiarity with AutoML frameworks
• Familiarity with Bayesian methods in machine learning
• Experience in applying causal inference and/or uplift modeling techniques
• Experience in web development, from a previous internship

...Don't worry we don't expect you to know everything!

In your first 6 months:

• You'll onboard remotely and spend some time understanding your team and tribe's vision. Once you know this, you'll better understand how you can contribute
• Understand the Wise domain
• Understand the problems your team are solving
• Understand how data science works at Wise and what each team and tribe does. From Marketing, to Treasury and Fraud teams - there are lots! Don't worry, we'll help you get acquainted
• Understand the tech culture, the detail of the tech stack and how we build stuff. We work in autonomous teams, on different stacks so you'll need to understand the details
• We're big on planning. You'll go through two quarterly plan cycles and get to propose your own ideas to take your product further

What you get back:

• Experience working in one of the fastest growing European FinTechs
• ️ Lots of team activities
• Salary from £52,000
• Solve real customer problems with data
• Fun offices with social activities - have a sneak peak of our London office!

We're people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you're passionate about learning new things and keen to join our mission, you'll fit right in.

And because we believe that diverse teams build better products, we'd especially love to hear from you if you're from an under-represented demographic.