Data Science Lead – DSL1

Pay

Not stated

Location

London, , United Kingdom

On site

Skills this role screens for

PythonTestingAI/MLData scienceResearch

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About the role

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.

Also

Here’s how you’ll be contributing

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.

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Additional information

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.

What you get

Key benefits

You can read more about our full benefits package here...