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Wise

Data Science Intern

Wise
Estonia · Internship · Internship

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.

Job Description

More about our mission and what we offer.

Role/Programme

As a Data Science Intern, you’ll join our Data Science team in the summer. This is an exciting opportunity to kick start your career and make a meaningful impact. You will be joining us for 9 weeks (29 June - 28 August 2026).

How you’ll make an impact - In this role, you will:

  • You’ll work on a real data science project that matters to us, using up-to-date machine learning techniques. We can’t say what project yet, but your internship will be centred around this.
  • You will work directly on projects that impact our customers and will help us prioritise 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.

Growth And Development

At Wise, we believe in continuous learning and development. You will have access to:

  • Mentorship/ buddy programme: We’ve a Buddy Programme for you to give you as much possible connection with people who know what you’re going through.
  • Intern Insight sessions: These will be short intro presentations from various representatives of different business areas of Wise to make sure you have a chance to get to know as many teams and functions at Wise as possible
  • Be part of a global intern cohort: Join a diverse group of interns across different teams and locations, connect through shared experiences, and build lasting relationships while learning and growing together at Wise!

Qualifications

What does it take? These things are a must:

  • You are graduating in 2026 or in 2027 from Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject
  • Able to start a 9 week internship on the 29 of June, 2026
  • Exposure to computer science and machine learning fundamentals, Python and SQL
  • 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 sponsorship

And any of these would be great, but aren’t essential:

  • A self-started side project(s) that you are proud to talk about
  • Experience in applying machine learning methods to solve a problem
  • 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

  • Pet friendly offices
  • Salary of €2530 / month (pro-rated for the lengths of the internship)
  • ‍♀️Lots of team activities
  • Read more about our benefits here!

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.

Key Skills

Ranked by relevance

machine learning python apache spark sql
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Posted
Feb 16, 2026
Type
Internship
Level
Internship
Location
Tallinn
Company
Wise

Industries

Financial Services

Categories

Engineering Information Technology

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