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 Life at Visa.
Job Description
Visa Predictive Models (VPM) team develops and maintains predictive machine learning models to primarily support Visa Global Data Products, Security and Identity Products, Cardinal Commerce, and CyberSource. Using VisaNet or merchant data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, etc. Through our models and services, VPM fuels the growth of Visa clients, generates and diversifies revenues for VISA, greatly improving Financial Card customer experience and their financial lives. To support our rapidly growing group, we are looking for a Data Science Intern who is passionate about the opportunity to use Visa’s rich data to address and deliver significant results to complex problems!
As a Data Science Intern, you will be responsible for developing Data Analytics solutions to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. We have a highly collaborative process, and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes.
Visa welcomes and encourages applications from persons with disabilities. Accommodation is available on request for candidates taking part in all aspects of the selection process.
Qualifications
Basic Qualifications
- Students pursuing a master's degree in computer science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field. with a graduation date in December 2025 or later; 2 years of relevant work experience.
- Strong communications skills, clear and concise written and spoken.
Preferred Qualifications
- 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.
- Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required.
Additional Information
U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $40.00/hr. - $42.00/hr. which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Authorization: Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.
Work Hours: Varies upon the needs of the department
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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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