Wise

Data Science Lead (DSL1) - KYC Global & Onboarding

London, United Kingdom · On-site · Full-time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerWise
LocationLondon, EC2A 4JE, United Kingdom
Work styleOn-site
Employment typeFull-time
Employer posted13 days ago

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.

About the Role:

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.

Show full description

Here’s how you’ll be contributing:

Own the data science roadmap and prioritise projects in collaboration with cross-functional teams, aligning the team’s work with customer needs and business goals.

Actively participate in planning and ideation of data science projects in collaboration with integrated cross-functional teams

Uncover opportunities and provide expertise on applying machine learning/data science techniques

Clearly articulate the value, limitations, and potential impact of data science initiatives to stakeholders with diverse levels of understanding

Manage and create large image and tabular datasets related to KYC processes

Iterate on our deep learning image models

Measure and optimize performance of our machine learning models

Maintain and develop a large Python codebase with industry-standard best practices

Keep up-to-date with the rapidly developing field of machine learning and research how to incorporate new ideas on systems that benefit our customers directly in production

Research the domain of Document verification to learn the best ways to prevent criminal activity

Manage and develop data scientists through coaching, regular feedback and career support, setting clear expectations and supporting hiring as the team grows.

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.

Key benefits:

Stock options in a profitable company

Hybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential

Annual personal development budget - whether it’s for books, courses, or conferences

Visa and relocation support

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.

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.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.