Careers in Analytics
Empower Wise with trustworthy data and insights.
Own the data.
Own the solution
You’ll play a significant role in helping Wise to understand our customers. Identifying trends, forecasting, and automating processes, you’ll build creative solutions to team problems using data and insights.
We work cross-functionally in squads who are vital to driving the mission of our business forward. Teams are empowered to define their vision, priorities, and KPIs together. Success is measured by the satisfaction our customers have in our products, and the positive impact it has on their lives."
Always curious.
Always learning
If you’re always looking for bigger and better ways to do things, you’ll do well at Wise. And sharing is caring, so if discovering new things is your thing — you’ll tell the people around you.
You’ll decide what tools you think are needed to develop the best solutions to the problems you’re working on. Whether it’s figuring out the right SQL queries, or deploying cloud-based machine learning processes — it’s up to you to test what’s best.
Jobs you might be interested in
Salary
115000 - 150000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time tr
Reference
6052ed5e-88c0-4d53-90cf-c777da36bf00
Expiry Date
01/01/0001
Salary
£75,000 - 100,000
Location
London
Team
Analytics
Locations
London
Description
THE ROLEWe’re looking for a Lead Product Analyst (Individual Contributor) to join Send Squad focusing on Send customers growth. This team's mission is to make sending money internationally faster, ch
Reference
199837df-1656-494b-ac9d-90c7a7778d85
Expiry Date
01/01/0001
Salary
£110- 135,000
Location
London
Team
Analytics
Locations
London
Description
We're looking for a Senior Analytics Engineering Manager AEL 2] in Servicing to join our Analytics Engineering team in London.Wise has already pioneered new ways for people to transfer money across bo
Reference
66c6f292-4b92-4a57-a28d-e9886ecceaee
Expiry Date
01/01/0001
Salary
60000 - 75000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
About this role: We are looking for a Senior Data Analyst to lead risk analytics for financial crime risk management at Wise.This is a dedicated risk function embedded in the analytics teams to suppor
Reference
42541774-433c-4103-93e5-4f108bfcf560
Expiry Date
01/01/0001
Salary
130000 - 175000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
We’re looking for a Director of Data Science to join our growing Data Science Team presence across London, Tallinn and Budapest offices.This role is a unique opportunity to provide technical leadershi
Reference
5e96dc0a-b0be-4827-8124-6816c2dc188e
Expiry Date
01/01/0001
Salary
36000 - 36000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
Role/Programme: As an Analytics Intern, you’ll join our Analytics team in the summer for 10 weeks in the summer (June 22, 2026, to August 28, 2026). You’ll be onboarded with the global internship c
Reference
6b10fdd7-5d33-403a-80d8-b0aab73d6d00
Expiry Date
01/01/0001
Salary
60,000 - 75,000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
THE ROLE We're looking for a dynamic Senior Product Analyst that can support our leads across CSM, KYC, Fincrime and Payment Operations to drive operational efficiency and scalability of Wise Platfor
Reference
2b455687-b144-4313-9403-d62139b64138
Expiry Date
01/01/0001
Salary
5416.67 - 6916.67 EUR Monthly
Location
Tallinn
Team
Analytics
Locations
Tallinn
Description
As a Lead Data Scientist on the Spend team, you will leverage your expertise in data science to innovate and deploy models that enhance our card fraud detection capabilities and optimize card product
Reference
96d618c4-114a-42eb-aaab-30b59de7ab5a
Expiry Date
01/01/0001
Salary
85000 - 115000 GBP Annual
Location
London
Team
Analytics
Locations
London
Description
The Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time tr
Reference
fcd54265-6cb7-4a1f-8f86-504584828301
Expiry Date
01/01/0001
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