Junior Data Scientist

Company Description

We’re building a scalable, high performing platform for our 16 million customers. And we’re looking for Junior Data Scientists to join us on our mission.

Wise is a global technology company, building the best way to move and manage the world’s money.

Whether you’re sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make your life easier and save you money. 

Since it was founded in 2010, 5,000+ people work at Wise, from 125 nationalities, in 17 global locations. Check out how it’s like working here. 

You’ll be part of Wise’s global mission to build an open, fair, and human financial system - to make money without borders the new norm. Because people without borders need money without borders. 

Job Description

• 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

Qualifications

• 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 

Additional Information

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 Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.