Get AI match insights
See your fit score & personalized tips.
Own the verification data science roadmap, prioritize projects, manage large image/tabular KYC datasets, iterate deep‑learning models, and maintain a production‑grade Python codebase.
A seasoned data scientist with strong machine‑learning and deep‑learning experience (especially image models), Python expertise, and a track record of leading and coaching data‑science teams.
Your work directly strengthens Wise’s KYC/Onboarding systems, reducing fraud risk while delivering a seamless experience for millions of customers, supporting the company’s global money‑movement mission.
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.
We’re looking for a Data Science Lead to lead and develop our growing Verification Data Science team within KYC Global and Onboarding in London.
This role is a unique opportunity to understand the customer KYC domain, how we mitigate risk leveraging data science techniques, and at the same time how to provide our customers with the seamless experience they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.
Our verification team is responsible for the processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification.
We are looking for someone to own the team’s data science roadmap, lead and develop our data scientists, and take responsibility for the impact and quality of our machine learning systems. You’ll provide technical direction across the model lifecycle, from training and testing to production performance and further improvements to our KYC systems.
Additional Information
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.
Additional Information
Additional information
You can read more about our full benefits package 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.
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.
