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Visa is seeking a Data Science Manager for its CEMEA Internal Data & Analytics team in Bengaluru. You will lead AI-enabled products and self-service analytics solutions, partnering with business stakeholders to convert data into actionable insights and automate decision workflows.
This hybrid role bridges Data Science, Software Engineering, GenAI and Business Analytics, focusing on scalable AI platforms and measurable business impact across the organization.
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.
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 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.
Role Type: Individual Contributor (Hands-on Development & Product Delivery Role)
People Management Responsibility: None. This role is expected to personally design, build and deploy solutions rather than manage a team.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.