Data Science Intern
VisaJob Description
Join Visa's Internship Program and be part of the Revolution of Payments Innovation. As a Data Science Intern, you will engage in meaningful work, gain executive exposure, and participate in problem-solving activities. This internship is a great opportunity to innovate, collaborate, and drive Visa into the next era of digital payments.
Responsibilities
- Work with the Data Science team, a key part of Visa's decision management engine.
- Collaborate with data scientists, data analysts, statisticians, and business analysts.
- Serve major financial institutions and merchants in the Asia Pacific region.
- Handle large data sets using quantitative techniques.
- Build complex statistical models that learn from big data.
- Develop cutting-edge, creative, and advanced analytic solutions and processes.
Qualifications
- Penultimate year undergraduate or postgraduate students.
- Available to work full-time for 10-12 weeks between November 2024 and February 2025.
- Legal authorization to work in Australia (Visa will not sponsor work visas).
- Pursuing a degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field.
- Proficient in database tools such as Hadoop/HIVE/SQL and programming languages like Python/PySpark.
- Experience in delivering analytics solutions using Machine Learning frameworks.
- Experience with visualization and reporting tools such as Power BI, Tableau, or similar.
- Intellectual curiosity and a drive to continually learn.
- Preferred experience in the banking and payment industry.
Additional Information
Visa is an Equal Employment Opportunity 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 qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
This is a hybrid position, with employees expected to work from the office three days a week based on business needs.
Benefits Extracted with AI
- Exposure to executive leadership
- Participation in social and community service activities
- Opportunity to work with large data sets
- Experience in a high-performing team
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