Data Science Internship 2025

3 Weeks ago • Upto 1 Years • Data Analyst

About the job

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience #LifeAtVisa.

Job Description

The Visa Internship Program is an exciting opportunity to propel your career from the center of payments innovation in Asia Pacific. Throughout your 12 weeks at Visa, you will be empowered to take on impactful work and lead courageously to shape the future of commerce. Gain executive exposure, engage in out-of-the-box problem solving, and participate in social and community service activities. We are looking for people who can innovate, collaborate, and drive Visa into the next era of an already rapidly evolving digital marketplace.

What else can you expect from the internship?

  • Own your career and personal growth! Sign up for projects, workshops, training courses and be at the forefront of emerging technologies by getting hands-on experience in AI, consulting, data visualization, and more!
  • We are more than a workplace! Join our intern socials and networking events, soak in the Life at Visa.

At Visa, we believe in the power of small steps to get you closer to where you want to go. Take your first step with Visa to powering payments and uplifting people.

The Data Science team is a key part of the decision management engine at Visa. This is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major Financial Institutions and merchants in Asia Pacific. The team works with large data sets using quantitative techniques and builds complex statistical models that learn from big data, working across multiple teams and functions to develop cutting edge, creative and advanced analytic solutions and processes.  

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office three days a week based on business needs.

Qualifications

What you will need:

  • Penultimate year undergraduate/ Postgraduate students who are available to work full-time for 10-12 weeks between November 2025 and February 2026.
  • Legal authorization to work in Australia - Visa will not sponsor applicants for work visas in connection with this position.
  • Pursuing a degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field.
  • Proficient in one or more database tools, such as Hadoop/HIVE/SQL, and programming language such as Python/Pyspark.
  • Experience in delivering analytics solutions using any Machine Learning framework.
  • Experience with visualization and reporting tools, such as advanced user of PPT, Power BI, Tableau, open-source tool, or similar.
  • Exhibits intellectual curiosity and strives to continually learn.
  • Banking & payment industry experiences are preferred.

Additional Information

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.

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About The Company

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

Texas, United States (Hybrid)

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