Data Scientist (CONTRACT)
New
Contractual
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
Own the machine learning lifecycle for document verification systems in our KYC and onboarding processes, including model training, testing, performance optimization, and deep learning iteration on image data. You'll work with large datasets, maintain a Python codebase, research document verification techniques, and mentor junior team members. This London-based hybrid role requires expertise in machine learning, Python, and deep learning, with a salary of £90.5K–£127K yearly.
Written from this posting by Neural Jobs AI. The full description is below.
We’re looking for a technical Lead Data Scientist (IC3) to join our growing KYC (Know Your Customer) and Onboarding Team in London.
This role is a unique opportunity to understand the customer onboarding & Know Your Customer 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 training, iteration, and management of our machine learning models’ life cycle, and be responsible for the overall training, testing, model performance analysis, and research further modifications to our KYC systems.
Here’s how you’ll be contributing:
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 optimise 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
Provide mentorship to junior team members, promoting their growth in data science skills and adherence to industry standards
Office: London, UK (Hybrid)
Salary range: GBP 90.5K-127K yearly gross based on experience and interview outcomes*
Key benefits:
Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible
Stock options in a profitable company
Relocation support
Generous parental leave
Pension scheme
Paid sabbatical
Loads of development opportunities
Sports and wellbeing compensation
A fun work environment with social activities and events
The opportunity to work with super smart, curious people
Additional Information
We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.
Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.
And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic.
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.
Here is what this employer asked for. Sign in and we will fill in your half.
Wise is a global technology company focused on moving and managing money across borders.
Wise offers international transfers, multi-currency accounts, debit cards, business payments, and infrastructure that banks and enterprises can embed through Wise Platform.
41 more Data Scientist roles in London
Search by role, company, or anything a posting mentions.
