What you'd actually do

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.

Skills

Required

Advanced analytics and AI experience applying a range of techniques (e.g., predictive modeling, machine learning, experimentation, agentic AI systems) 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.
Experience designing and implementing agentic AI workflows, including multi-step reasoning pipelines, tool-augmented agents, and orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or equivalent), with the ability to evaluate agent reliability and manage failure modes in production.
Familiarity with large language model (LLM) integration patterns, including prompt engineering, retrieval-augmented generation (RAG), function/tool calling, and memory management within agentic architectures.
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 — including solutions that leverage autonomous or semi-autonomous AI agents.
Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders, influencing decisions through storytelling, visualization, and structured recommendations.

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

**What it's all about - **

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics (VCA) 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.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

**What we'd like from you- **

Advanced analytics and AI experience applying a range of techniques (e.g., predictive modeling, machine learning, experimentation, agentic AI systems) 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.
Experience designing and implementing agentic AI workflows, including multi-step reasoning pipelines, tool-augmented agents, and orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or equivalent), with the ability to evaluate agent reliability and manage failure modes in production.
Familiarity with large language model (LLM) integration patterns, including prompt engineering, retrieval-augmented generation (RAG), function/tool calling, and memory management within agentic architectures.
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 — including solutions that leverage autonomous or semi-autonomous AI agents.
Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders, influencing decisions through storytelling, visualization, and structured recommendations.

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.