Graduate Data Scientist

Wise; Greater London; On-site; GBP 42,000 - 54,000; Full time

Job summary

Wise is seeking a graduate Data Scientist to join its team in London. You will work on projects that impact customers, prioritizing improvements to products with a focus on convenience and trust.

In your first six months, you’ll onboard remotely and spend time understanding your team and tribe’s vision, before contributing to Wise’s domain and the problems your teams are solving. Remote onboarding continues as appropriate.

Qualifications

• Must be graduating in 2027 or have graduated in 2026 in Computer Science, Mathematics, or any STEM field.
• Ability to start a full-time graduate role on 6 September 2027.
• Knowledge of computer science and machine learning fundamentals, Python and SQL.
• A self-started side project(s) you are proud to talk about.
• Curious, keen to learn and proactive by nature.
• Eligible to work in London.

Responsibilities

• Participate in building industry-proven machine learning based solutions.
• Prioritize improvements to products with user convenience and trust in mind.
• Work with teams to understand problems and how data science can help.

Skills

Python

SQL

ML fundamentals

Math skills

Self-started projects

Curious & proactive

Education

Bachelors/Master's in STEM

Job 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.

How 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

Qualifications

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

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.