Senior Data Scientist I

Company Description We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech. Job Description About the role: As a Data Scientist at Checkout.com , you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, Development, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com. What you will be doing: Drive the design and development of innovative GenAI and Computer Vision-based approaches to solve complex, real-world identity verification challenges. Execute deep-dive exploratory data analysis (EDA) and technical discoveries to generate meaningful, novel insights that shape product direction. Design, implement, and analyze rigorous experiments and A/B tests to quantitatively measure model performance and directly guide iterative improvements. Take full ownership of new model development, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization. About You: Over 5 years of applied experience as a Data Scientist in a data-intensive environment, working with complex, large-scale, and diversified data sets. Expert-level Python programming knowledge and demonstrable experience deploying models in a high-traffic production environment. Proven experience in GenAI / Computer Vision model experimentation, including the creation and implementation of deep-learning models and scalable GenAI pipelines. Exceptional communication skills, with the ability to articulate technical concepts and complex findings clearly to both technical and non-technical audiences. A proactive mindset: the drive to challenge existing processes and decisions to continuously improve efficiency and outcomes for everyone. Highly curious, able to take initiative, and work with a high degree of autonomy. Strong commitment to a data-driven approach, consistently defining clear success metrics and rigorously measuring progress against them. Flexible and adaptable, with a strong willingness to rapidly learn and master new technologies and domains. Bonus Points: Solid theoretical and practical knowledge of Computer Vision, Machine Learning, and Generative AI principles. Di ... (truncated, view full listing at source)