Sr. Data Scientist

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Visa's CEMEA Internal Data & Analytics team is seeking a highly motivated Data Science Manager to develop and scale AI-enabled products, analytics platforms and self-service decision-support capabilities that empower business teams across CEMEA. This role sits at the intersection of Data Science, Software Engineering, GenAI and Business Analytics. The successful candidate will partner closely with business stakeholders to build scalable solutions that transform data into actionable insights, automate decision-making workflows and accelerate adoption of AI across the organization. Key Responsibilities AI Products & Agentic Solutions Design, develop and deploy AI-powered business applications and self-service analytics products. Build agentic AI solutions leveraging LLMs, GenAI platforms and conversational interfaces. Develop AI-enabled decision support tools that drive measurable business outcomes. Own the product lifecycle from ideation through deployment and adoption. Data Science & Advanced Analytics Build predictive models, optimization solutions and recommendation engines. Apply machine learning, statistical modelling and experimentation techniques to solve business problems. Translate complex business challenges into scalable analytics and AI solutions. Deliver measurable business impact through data-driven decision making. Data Democratization & Analytics Platforms Enhance and expand IRIS capabilities and broader Project LEGO initiatives. Build self-service analytics solutions that reduce reliance on manual reporting. Develop reusable data products, analytical assets and business intelligence solutions. Enable business users to access trusted insights through modern analytics experiences. Engineering & Solution Development Develop production-grade applications using Python and modern development frameworks. Build APIs, backend services and scalable analytical workflows. Support cloud migration and modernization initiatives. Apply software engineering best practices including version control, testing and deployment automation. Stakeholder Engagement Partner directly with leaders across Marketing, Cross-Border, Products, Compliance, Corporate Communications and other business functions. Gather requirements, prioritize opportunities and communicate insights effectively. Act as a trusted advisor on analytics,…