VCA Intern (IDS)
Visa is hiring a VCA Intern (IDS) in London, United Kingdom. Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include SQL, Python and Statistical Modeling.
- Level files it as an internship.
- Level lists 831 other open roles at Visa.
- The role was posted within the past week.
AI in this role
Analyzes extensive datasets and develops sophisticated statistical models and analytical solutions as an intern.
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa’s Internship Program provides an immersive journey where you’ll work on impactful projects that drive Visa’s mission forward. As a Visa intern, you’ll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment.
Throughout the program, you’ll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You won’t just be learning, you’ll be contributing, collaborating, and innovating every step of the way. In addition to professional development, you’ll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer
The experience culminates in an exciting final presentation, where you’ll showcase your project achievements, share key insights, and present your recommendations to Visa’s leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visa’s vision for the future.
The Data 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 all over the world. The team utilizes quantitative methodologies to analyze extensive data sets and develops sophisticated statistical models that leverage big data. Collaborating across various teams and functions, they design innovative and advanced analytical solutions and processes. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Science Interns who are 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. The intern will take part in developing and refining our data models and solutions through a highly collaborative process. They will work with different teams and data sets, apply much of the knowledge they gained at their university, and develop professional experience.
Potential responsibilities include:
- Prepare and manage datasets using tools such as Python, SQL, Spark, or Hive, including efficient data wrangling and fulfillment of ad-hoc requests.
- Conduct business data analyses to uncover key insights and effectively communicate findings to stakeholders.
- Design and develop BI tools using platforms like Power BI and Tableau.
- Interpret and analyze data by understanding BI pipelines, performing exploratory and machine learning–based analytics, and delivering actionable insights.
- Monitor and enhance BI tools by identifying insights, creating demos, and enabling teams to maximize tool value.
- Execute large-scale data analytics to extract and present meaningful business insights.
- Recommend improvements to tools and techniques that optimize existing processes or support new initiatives with long-term value.
Qualifications
Basic Qualifications
- Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field graduating December 2027 – August 2028
- Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.
Preferred Qualifications
- Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
- 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
- Experience with extracting and aggregating data from large data sets using SQL or other tools
- Understanding of ML techniques
- Competence in Excel, PowerPoint and Tableau
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.
How we rate this
VCA Intern (IDS) at Visa rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where quantitative analysis was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Analytics, Big Data, Quantitative Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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