Data Science Intern
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 19, 2026. Modelwise scores B on the Alion truth index.
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 (21st June - 27th August 2027).
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 2028 from Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject
Able to start a 10 week internship on the 21st of June, 2027
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 London 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
Familiarity with supervised ML
Familiarity with supervised LLM chat and workflow automation
Familiarity with Graphs and GNNs
Familiarity with Apache Spark or other distributed processing frameworks
Experience in software development
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!
Salary of gross £46,400
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.
How to Apply: 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.