Data Science Intern

Posted Yesterday
Be an Early Applicant
London, Greater London, England
Hybrid
42K-42K Annually
Internship
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
10-week summer internship working on a real data science project using modern machine learning techniques. Interns build ML solutions that impact customers, help prioritise product improvements, and experiment with state-of-the-art algorithms while receiving mentorship and participating in a global intern cohort.
Summary Generated by Built In
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 (22 June - 28 August 2026). 

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 10 week internship on the 22nd 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 the UK 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 £42,000 pro rata

  •  🏃‍♀️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.

Top Skills

Python
SQL

What the Team is Saying

Lindsay
Surendra
Smrithi
Pavan
Jennifer
Lauren
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
8,000 Employees
Year Founded: 2011

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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

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.

Typical time on-site: Not Specified
Austin, TX
Brussels, BE
Hungary
Hyderabad, IN
Kuala Lumpur, MY
London, GB
New York, NY
São Paulo, BR
Singapore
Tallinn, EE
Tokyo, JP
Learn more

Similar Jobs

Wise Logo Wise

Data Science Intern

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
8000 Employees
42K-42K Annually

Wise Logo Wise

Product Marketing Lead - Assets

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
8000 Employees
90K-120K Annually

Wise Logo Wise

Data Scientist

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
8000 Employees
53K-53K Annually

Wise Logo Wise

Principal Product Manager

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
8000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account