Senior Data Scientist I

Company Description We’re Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. 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. Parlez-vous français? Excellent French language skills (written and spoken) are a non-negotiable for this role. You’ll be diving straight into a French-speaking environment from day one. 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, cons