How youll contribute to our team of data scientists:
Help take Wise to the next level as we scale to impact 100s of millions more customers
You will work directly on projects that impact our customers and will help us prioritize the most significant improvements to our products with their convenience and trust in mind.
Participate in building industry-proven machine learning based solutions and find opportunities to experiment with state-of-the-art algorithms.
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 youll work with your team to create a vision of your own. You can always gather feedback from smart curious people across Wise but youll 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 well do our best to make it happen
Inspire teams with your ideas knowledge and self-starting attitude
In your first 6 months:
Youll onboard and spend some time understanding your team and tribes vision. Once you know this youll 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! Dont worry well 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 youll need to understand the details
Were big on planning. Youll go through two quarterly plan cycles and get to propose your own ideas to take your product further
Qualifications :
What does it take These things are a must:
You are graduating in 2026 or did in 2025 from 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 on 7 September 2026
Knowledge of computer science and machine learning fundamentals Python and SQL
A self-started side project(s) that you are proud to talk about
Curious keen to learn and proactive by nature
You are open to and value feedback in order to improve
Eligible to work in Tallinn without visa sponsor
And any of these would be great but arent essential:
Experience in applying machine learning methods to real-world problems
Familiarity with Bayesian methods in machine learning
Familiarity with supervised ML
Familiarity with Apache Spark or other distributed processing frameworks
Experience in software development
Additional Information :
What you get back:
Stock options in one of the fastest growing European FinTechs
An annual self-development budget
Pet friendly offices
Salary of 3170 / month
Lots of team activities
A paid 6-week sabbatical leave after four years
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cro ... View more