Lead Machine Learning Scientist, Customer Operations at Monzo

Collaborating daily with cross-functional teams including data scientists, engineers, and product managers, you will lead initiatives to build human-in-the-loop systems that combine automation with expert human support. Your work will directly impact how swiftly and accurately Monzo resolves customer queries and improves operational workflows. Ideal candidates will bring several years of proven experience developing and deploying sophisticated machine learning models in fast-paced tech environments. You should excel in Python and SQL, have a strong product mindset, and be comfortable navigating ambiguity to deliver measurable business results. Experience with deep learning, sequence-based architectures, or graph-based models is essential, alongside a passion for continual learning and innovation in ML. London's dynamic fintech scene offers an exciting backdrop for this role, as Monzo continues to disrupt the banking sector with technology-driven customer support. Your contributions will be vital in scaling Monzo’s customer operations to meet growing demands efficiently and effectively. While salary details are not stated, this role offers a unique opportunity to lead impactful ML projects at a major fintech company, opening doors to senior technical leadership roles across the financial technology sector. Monzo supports career growth through flexible working, a generous learning budget, and an inclusive environment. To stand out, highlight your successful ML deployments that achieved tangible business outcomes and demonstrate your leadership in collaborative technical projects. Emphasize your expertise in Python, SQL, and ML model lifecycle management, showing how you have improved customer-facing operations. If you are ready to shape the future of customer operations with advanced machine learning at Monzo, apply now to join this innovative team and contribute to making money work for everyone.