Data Science Manager

Company Description

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

We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visa’s clients grow their businesses.

What we expect of you, day to day

• Develop a deep understanding of Visa’s data assets and value‑added services, and proactively translate them into compelling, commercially viable propositions that address client needs across acquisition, usage, and retention.

• Partnering closely with Sales, VCA, and Product teams to identify opportunities, shape client conversations, and convert insights into funded projects.

• Collaborate with internal and external stakeholders to define clear business problems, commercial outcomes, and success metrics, translating them into structured analytical and delivery plans.

• Execute the Data Science projects, ensuring the use of appropriate statistical and AI techniques to generate clear, business‑centric insights, supported by strong storytelling and impactful visualisation.

• Provide subject‑matter expertise and quality assurance across complex Data Science engagements, ensuring analytical rigor, relevance, and alignment with client objectives.

• Identify recurring client needs and market trends emerging from commercial engagements, and actively feed these insights into Visa’s Data Science product and solution development roadmap.

This is a hybrid position. This requires 3 days per week (Tuesdays, Wednesdays and Thursdays) attendance in the Madrid office.

Qualifications

You must have:

• Advanced analytics and AI experience applying a range of techniques (e.g., predictive modeling, machine learning, experimentation) to solve real business problems and drive measurable outcomes.
• Strong hands-on capability in data preparation and feature engineering, including cleaning, transforming, and validating large, complex datasets.
• Programming skills in Python and SQL, including production-grade data manipulation and ML workflows (e.g., pandas, scikit-learn or equivalent libraries), and the ability to work efficiently with large datasets.
• Proven ability to translate business needs into end-to-end analytical/AI solutions, from problem framing and methodology design to insight delivery and stakeholder adoption.
• Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders, influencing decisions through storytelling, visualization, and structured recommendations.

You might have:

• An advanced degree (or equivalent experience) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Experience delivering analytics/AI in payments, banking, consulting, or similarly fast-paced commercial environments.
• Experience exploring Generative AI use cases (e.g., LLM-enabled insights, summarization, copilots) and integrating them into analytics workflows safely and effectively.

Additional Information

Visa is an EEO Employer. 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.

Client-provided location(s): Madrid, Spain

Job ID: 1b27b7e6-ef89-450c-bfab-3b27a0897093

Employment Type: OTHER

Posted: 2026-03-09T18:48:12