Data Science Intern

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

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 10 weeks (23rd June - 29th August 2025).You’ll be onboarded with the global internship cohort in one of our offices and learn the basics of being a Wiser.

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.
• Weekly Lunch and learn 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

Qualifications

• You are graduating in 2026 from a Bachelors or Masters degree potentially in Computer Science or any other STEM subject. However, a degree in a technical field is not a must as our selection process prioritises your skills.
• You are able to start a 10 weeks internship from June 23rd

• Knowledge of computer science and machine learning fundamentals including data structures, algorithms, data analysis, linear algebra and statistics

• 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

• Eligible to work in Tallinn

And 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 challenges of supervised ML on imbalanced data

• Familiarity with Apache Spark or other distributed processing frameworks

• Experience in applying causal inference and/or uplift modelling techniques

• Experience in software development, from a previous internship 

...Don’t worry we don’t expect you to know everything!

Additional Information

Why You’ll Love Working Here?

 🏠You will have flexibility in how and where you work. We understand everyone needs a little something different - so we’ll do our best to make it happen, but we recommend coming to the office as much as possible in your first weeks!
🍽️Weekly office lunch and breakfast, coffee, tea and snacks!
💸Gross Monthly Salary (prorated) 2,400 EUR 
🏢Fun and creative offices with social activities 
🌟Be part of a global team with a global mindset.
💥Have a real impact. Solve real customer problems.

For more details on location-specific benefits, please check here.

If you are excited about this opportunity and you’re confident in your abilities but don’t hit every mark on our list, we still want to hear from you! Don’t hesitate to apply by submitting your updated resume! 

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.