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 DescriptionRole/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!
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
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.
Skills Required
- Graduating in 2028 from a bachelor's or master's degree in Computer Science, Mathematics, or another STEM subject
- Available to start a 10-week internship on June 21, 2027
- Exposure to computer science and machine learning fundamentals
- Experience with Python and SQL
- Curious, eager to learn, and proactive
- Open to and values feedback
- Eligible to work in London without visa sponsorship
- Self-started side project experience
- Familiarity with supervised machine learning
- Familiarity with supervised LLM chat and workflow automation
- Familiarity with graphs and graph neural networks
- Familiarity with Apache Spark or other distributed processing frameworks
- Software development experience
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
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Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
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Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.
Wise Insights
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.
