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 DescriptionHow you’ll contribute to our team of data scientists:
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.
This role will give you the opportunity to:
Choose your path to impact. We believe people do great things when they can act autonomously. So, instead of being told what to do, you’ll work with your team to create a vision of your own. You can always gather feedback from smart, curious people across Wise, but you’ll have the freedom to make your own calls
Be flexible in how and where you work. We understand everyone needs a little something different - so we’ll do our best to make it happen
Inspire teams with your ideas, knowledge and self-starting attitude
In your first 6 months:
You’ll onboard remotely and spend some time understanding your team and tribe’s vision. Once you know this, you’ll better understand how you can contribute
Understand the Wise domain
Understand the problems your team are solving
Understand how data science works at Wise and what each team and tribe does. From Marketing, to Treasury and Fraud teams - there are lots! Don’t worry, we’ll help you get acquainted
Understand the tech culture, the detail of the tech stack and how we build stuff. We work in autonomous teams, on different stacks so you’ll need to understand the details
We’re big on planning. You’ll go through two quarterly plan cycles and get to propose your own ideas to take your product further
What does it take? These things are a must:
You are graduating in 2027 or did in 2026 from Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject
You are able to start a full time graduate job on 6 September 2027
Knowledge of computer science and machine learning fundamentals, Python and SQL
A self-started side project(s) that you are proud to talk about
Curious, keen to learn and proactive by nature
You are open to and value feedback in order to improve
Eligible to work in London.
And any of these would be great, but aren’t essential:
Experience in applying machine learning methods to real-world problems
Familiarity with supervised ML
Familiarity with Time Series Forecasting
Familiarity with supervised LLM chat and workflow automation
Familiarity with Computer Vision
Familiarity with Bayesian Learning
Familiarity with Causal Inference
Familiarity with Recommender Systems
Familiarity with Graphs and GNNs
Familiarity with Reinforcement Learning
Familiarity with Apache Spark or other distributed processing frameworks
Experience in software development
What you get back (London):
🚀 Stock options in one of the fastest growing European FinTechs
💪 An annual self-development budget
🐶 Pet friendly offices
💸 Salary of £58,000 / year
🏃♀️Lots of team activities
🏝️ A paid 6-week sabbatical leave after four years
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 2027 or graduated in 2026 with a Bachelor's or Master's degree in Computer Science, Mathematics, or another STEM subject
- Available to start a full-time graduate position on 6 September 2027
- Knowledge of computer science and machine learning fundamentals
- Proficiency in Python and SQL
- A self-started side project to discuss
- Curious, proactive, and willing to learn
- Open to and values feedback
- Eligible to work in London
- Experience applying machine learning methods to real-world problems
- Familiarity with supervised machine learning
- Familiarity with time series forecasting
- Familiarity with supervised LLM chat and workflow automation
- Familiarity with computer vision
- Familiarity with Bayesian learning
- Familiarity with causal inference
- Familiarity with recommender systems
- Familiarity with graphs and graph neural networks
- Familiarity with reinforcement learning
- Familiarity with Apache Spark or other distributed processing frameworks
- Experience in software development
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.
