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**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.

Visa Inc. is a general payments technology company that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk, data science and economics consulting, with decades of experience in the payments industry.

Our VCA teams offers:

- Consulting services customized to the needs of Visa client’s business objectives and strategy.
- Business and economic insights and perspectives that impact business and investment decisions.
- Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations.
- Proven data-driven marketing strategies to increase clients’ ROI.
- Proven data driven decision making to help Visa clients to achieve their goals.

**Job Description**:
This role will also contribute to the design, prototyping, and implementation of Generative AI and agent based solutions, supporting the evolution of consulting workflows toward agentic driven processes.

**Responsibilities**:
Advanced Analytics,



Data Engineering & Machine Learning:

- Work with large volumes of data extract, manipulate, and analyze large datasets using tools such as Hadoop ecosystem, Python, PySpark, Presto, SQL, and related technologies.
- Perform hands‑on data cleaning, wrangling, analysis, and visualization of large, complex datasets.
- Parse, aggregate, and transform messy, incomplete, or unstructured data into high‑quality analytical datasets suitable for modeling and insights generation.
- Develop, validate, and optimize advanced data mining techniques, statistical models, and machine learning algorithms to solve business problems.
- Build, enhance, and optimize scalable code and analytical pipelines supporting critical business processes.
- Implement machine learning solutions using Python (scikit‑learn), Spark ML, or similar frameworks.
- Support the implementation and execution of complex analytical models and distributed data pipelines on large datasets.
- Develop and deploy analytical models and data‑driven solutions for Visa clients, including issuers, acquirers, and merchants.
- Design, develop, and maintain dashboards and analytical products using Tableau (preferred) and/or Power BI.
- Leverage Visa’s proprietary data assets, platforms, and analytics capabilities to design standardized and reusable consulting solutions.
- Identify opportunities to automate repeatable analyses and build streamlined analytical tools for consultants and clients.





Generative AI & Agentic Solutions:

- Support the redesign of analytical and consulting processes into agentic‑driven workflows, enabling automation, orchestration, and decision support.
- Build rapid proofs of concept (POCs) and MVPs using GenAI techniques such as prompting, embeddings, retrieval‑augmented generation (RAG), and tool‑augmented agents.
- Collaborate with consulting, product, data science, and technology teams to integrate GenAI solutions into existing analytical pipelines and business processes.
- Assist in testing, validating, and iterating GenAI solutions to ensure performance, reliability, and usability in real business contexts.
- Desirable: Contribute to the deployment of GenAI or agent‑based solutions (e.g., APIs, pipelines, internal tools), including monitoring and incremental improvements.
- Document GenAI use cases, prototypes, and technical approaches to facilitate knowledge sharing and reuse.

Consulting Support & Communication:

- Support strategic definition of analytical initiatives through collaboration with internal and external stakeholders.
- Identify relevant market trends through data‑driven analysis of the payments and financial services industry.
- Clearly communicate analytical findings, model outputs, and AI‑enabled insights to both technical and non‑technical audiences.
- Support knowledge transfer and documentation to ensure effective implementation of delivered solutions.
- Document projects, methodologies, and best practices actively share learnings across the team.
- Continuously propose innovative ideas to improve analytical rigor, efficiency, and business impact.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring

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📌 Data Scientist (Bogotá)
🏢 Visa Colombia Sociedad Anonima
📍 Bogotá