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Data Scientist

Full-timeHybrid1hr ago

Visa

Visa's Global Data Science group uses payments-scale data to solve high-value problems for banks, merchants, and internal teams. The role pairs Python and SQL analytics with stakeholder-facing model work in a highly commercial data environment.

About the role

You would work with Visa's Global Data Science group, using large payments datasets to build predictive models, shape client recommendations, and turn analyses into reusable data products across banking, merchant, digital product, and marketing problems.

Key signals

Here, Python and SQL are tied to real decisions for banks and merchants. It is a good place to build commercial judgment, work with stakeholders, and learn how analytics moves from a model into a product.

Market analysis

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Top sectors

Software Development
Business Consulting and Services
Software Development
IT Services and IT Consulting
Other
SoftwareEngineeringMachineLearningGenerativeAIDataEngineeringCloudOperationsProfessionalCommunication

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Top attributes

Python

24%

Bachelor's Degree

16%

Machine Learning

11%

Problem Solving

10%

Cross-functional Collaboration

10%

Profile insights

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Your next steps

Affinity score

Between your profile and the current goal.

21/100

Overview

You already look credible for early-career AI Engineer and Applied AI Engineer roles, especially where companies want someone who can build practical LLM systems rather than do pure research. The profile signals real exposure to RAG, internal AI tools, orchestration, cloud infrastructure, and regulated enterprise work. That is a stronger base than many candidates who only show coursework or toy demos.

The opportunity is to tighten the signal. Your background has enough substance, but the positioning still needs to read less like general technical potential and more like production-minded enterprise AI engineering. The best version of the story is that you can turn LLM capability into useful internal products with retrieval, guardrails, evaluation, deployment discipline, and business context.

suave's analysis

Strengths

Your profile has several things working in your favor. First, you already have direct experience around Generative AI work, including RAG systems, guardrails, internal assistants, workflow design, and data integration. That matters because many candidates still present GenAI as coursework, hackathons, or side projects.

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