Sr. Data Scientist
Visa · Posted Oct 9
Digital payment technology platform and global payment card services corporation
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About the role
Visa's CEMEA Internal Data & Analytics team develops and scales AI-enabled products, analytics platforms and self-service decision-support capabilities that empower business teams across CEMEA. The work spans Data Science, Software Engineering, GenAI and Business Analytics within Visa's global payments technology organization. This hands-on individual contributor role designs, builds and deploys AI-powered applications, predictive models and self-service analytics products in partnership with business stakeholders, with no people management responsibility.
What you will do
- Design, develop and deploy AI-powered business applications and self-service analytics products.
- Build agentic AI solutions leveraging LLMs, GenAI platforms and conversational interfaces.
- Develop AI-enabled decision support tools that drive measurable business outcomes.
- Own the product lifecycle from ideation through deployment and adoption.
- Build predictive models, optimization solutions and recommendation engines.
- Apply machine learning, statistical modelling and experimentation techniques to solve business problems.
- Translate complex business challenges into scalable analytics and AI solutions.
- Deliver measurable business impact through data-driven decision making.
- Enhance and expand IRIS capabilities and broader Project LEGO initiatives.
- Build self-service analytics solutions that reduce reliance on manual reporting.
- Develop reusable data products, analytical assets and business intelligence solutions.
- Enable business users to access trusted insights through modern analytics experiences.
- Develop production-grade applications using Python and modern development frameworks.
- Build APIs, backend services and scalable analytical workflows.
- Support cloud migration and modernization initiatives.
- Apply software engineering best practices including version control, testing and deployment automation.
- Partner directly with leaders across Marketing, Cross-Border, Products, Compliance, Corporate Communications and other business functions.
- Gather requirements, prioritize opportunities and communicate insights effectively.
- Act as a trusted advisor on analytics, AI and data-driven decision making.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related discipline.
- 5+ years of experience in Data Science, Analytics, Machine Learning or AI-related roles.
- Strong proficiency in Python and SQL.
- Strong analytical, problem-solving and communication skills.
- Experience delivering end-to-end analytical or AI solutions.
Preferred qualifications
- Experience developing GenAI, agentic AI or LLM-based applications.
- Experience with FastAPI, React or modern application frameworks.
- Experience building self-service analytics or data products.
- Experience with cloud platforms and modern data architectures.
- Experience working directly with business stakeholders and senior leaders.
- Experience operating independently in a fast-paced environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
- 2008-03-19IPO$17.9B
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Strategy Officer
Group President, Global Markets
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
Visa Newsroom
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