data scientist for KYC and onboarding

Wise is a global technology company building a way to move and manage money worldwide. It helps people and businesses send money internationally, spend abroad, and make and receive international payments.

• Participate in planning and ideation of data science projects with cross-functional teams;
• Identify opportunities to apply machine learning and data science techniques;
• Explain the value, limitations, and potential impact of data science initiatives to stakeholders with different levels of understanding;
• Manage and create large image and tabular datasets related to KYC processes;
• Iterate on deep learning image models;
• Measure and optimise machine learning model performance;
• Maintain and develop a large Python codebase using industry-standard best practices;
• Monitor developments in machine learning and research how to incorporate new ideas into production systems;
• Research document verification to identify effective ways to prevent criminal activity;
• Mentor junior team members and support their growth in data science skills and adherence to industry standards.

• Experience applying machine learning and data science techniques;
• Experience with machine learning model training, testing, lifecycle management, and performance analysis;
• Experience working with deep learning image models;
• Experience managing large image and tabular datasets;
• Strong Python development skills;
• Ability to articulate data science concepts, value, limitations, and impact to diverse stakeholders;
• Ability to research and incorporate new machine learning approaches into production systems;
• Ability to mentor junior team members.

• Stock options in a profitable company;
• Relocation support is available;
• Generous parental leave;
• Pension scheme;
• Paid sabbatical;
• Development opportunities;
• Sports and wellbeing compensation;
• Social activities and events.