Graduate Data Scientist

Posted Yesterday
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Tallinn, Harju maakond
Hybrid
38K-38K Annually
Entry level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Join Wise as a Graduate Data Scientist to build and experiment with ML solutions that impact customers. You will learn the domain, collaborate across teams, contribute to product improvements, and deliver data-driven models and analyses while growing technical and product knowledge.
Summary Generated by Built In
Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

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 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, 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

  • Inspire teams with your ideas, knowledge and self-starting attitude 

In your first 6 months:

  • You’ll onboard 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

 

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 aren’t 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. 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.

Top Skills

Spark
Machine Learning
Python
SQL

What the Team is Saying

Lindsay
Surendra
Smrithi
Pavan
Jennifer
Lauren
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The Company
8,000 Employees
Year Founded: 2011

What We Do

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

With Wise Account and Wise Business, 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 network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies.

In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Not Specified
Austin, TX
Brussels, BE
Hungary
Hyderabad, IN
Kuala Lumpur, MY
London, GB
New York, NY
São Paulo, BR
Singapore
Tallinn, EE
Tokyo, JP
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