You will help take Wise to the next level as we scale to impact 100’s of millions more customers
You will help analyzing data that will help us prioritize the most customer significant changes in the product
Participate in building the most advanced machine learning based solutions to help us scale
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 2024
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 SQL and 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 Estonia
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
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
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Instagram.
We will add a link to the job offer at the end of the letter.