Graduate Data Scientist

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 Graduate Data Scientist, you’ll join our Data Science team in September 2025. This full-time role offers a chance to make a meaningful impact and kickstart your career. You’ll be onboarded with the global Graduate 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:

• 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
  
  

Growth And Development

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

• Data Science training and onboarding - introduction to the data science tools and terminology we use at Wise.
• Mentorship/ buddy programme - you will have a buddy assigned to you to give you as much possible connection with people who know what you’re going through!
  
  

Qualifications

What You’ll Bring:

• You are Graduating in 2024 or 2025 with a Bachelor’s or Master’s 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.
• Ready to start full-time in September 2025.
• 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 such as Pandas, Scikit-Learn and MLFlow
• 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
  
  

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 months!

🌍 Mobile Wiser: After six months with Wise, you can work from anywhere (up to 90 days)

🌴Paid Sabbatical leave, Me days, Volunteering day plus your annual vacation days

💚Compassionate leaves

📈Professional and development annual budget

🍽️Weekly/Bi-weekly office lunch and breakfast, coffee, tea and snacks!

💸Gross Monthly Salary of 3,000 EUR with an RSU Package

🏢Fun and creative offices with social activities

💚Embrace global connection during Mission Day

🌟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.