Lead Data Scientist - Customer Onboarding

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 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 .