Lead Data Scientist - Receive Risk

Job Title: Lead Data Scientist - Receive Risk Company: Wise Job Category: Data Science Roles & Responsibilities: Company Description Wise is a global technology company, building the best way to move and manage the world’s money. We’re looking for a Lead Data Scientist to join our growing Receive Team in London. This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. Role Overview As a Lead Data Scientist on the Receive team, you will leverage your expertise in data science to identify, design and deploy models that improve how customers receive and add money with Wise. Your work will help us make better decisions, improve customer outcomes, and build scalable data science capabilities for a growing product area. You will collaborate closely with cross\-functional teams, including engineering, product, analytics, operations and risk management. Key Responsibilities * Lead the development and deployment of machine learning models and data science solutions to improve Receive product performance across different Wise markets * Analyse large volumes of customer, transaction and product data to identify trends, patterns, risks and opportunities * Design and implement experiments to evaluate the effectiveness of product changes, decisioning systems and customer experience improvements * Build scalable modelling approaches that support better prioritisation, personalisation, risk management and operational decision\-making * Collaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutions * Develop robust data pipelines, algorithms and tools to support production\-grade modelling and decision\-making * Stay informed about the latest advancements in data science, machine learning, and payment fraud prevention techniques to ensure state\-of\-the\-art capabilities in the Spend domain 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 Work Location: London, England, UK Availability: Full time

Skills Some extra skills that are great (but not essential): * Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CD * Prior experience in the fraud domain and a strong understanding of fraud detection techniques * Experience designing and deploying LLM\-based solutions in production 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. 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. Key Skills: Data Science Salary: Not disclosed