Data Science, Intern – Summer 2025

To apply for the Data Science Intern position at Visa, candidates should be pursuing a master's degree in a relevant field like computer science, Data Analytics, or Statistics, with a graduation date in December 2025 or later. Having at least 2 years of relevant work experience is also essential. Furthermore, strong communication skills and proficiency in programming languages, especially Python or similar, are highly desirable.

Relevant work experience for the Data Science Intern role at Visa can vary, but having practical knowledge in handling large data sets, using machine learning frameworks, or experience in financial services analytics would be beneficial. Even if it's your first internship, showing passion for data analytics and a proactive approach to learning will go a long way.

As a Data Science Intern at Visa, you will primarily focus on developing data analytics solutions to tackle significant business challenges. This involves working with extensive data sets, employing quantitative techniques, and using statistical models to derive insights. You'll collaborate closely with different teams, contributing to creative and effective analytic solutions.

The Data Science Intern position at Visa is a hybrid role, meaning you will alternate between remote and in-office work. Interns are expected to work from the office 2-3 days per week based on team needs, allowing for flexibility while ensuring collaborative work and team bonding.

At Visa, as a Data Science Intern, you'll have access to numerous professional development opportunities, including mentorship from experienced data scientists, workshops, and exposure to real-world projects that have a direct impact on the business. You'll enhance your skills and grow your professional network significantly during your internship.

Absolutely! Visa welcomes and encourages applications from individuals with disabilities. The company is committed to providing accommodations during the selection process to ensure everyone has a fair chance to showcase their qualifications for the Data Science Intern position.

The work environment at Visa for Data Science interns is collaborative, innovative, and inclusive. Interns are encouraged to share their ideas, engage with their peers, and contribute to impactful projects alongside experienced professionals. Visa's culture emphasizes teamwork and personal development, making it a fantastic place to kickstart your career.

When answering this question, discuss a specific project where you utilized various data science techniques. Define the problem, explain the dataset you used, the analytical methods you applied, and the outcome. Highlight any collaborative efforts, tools used, and the insights you derived that can demonstrate your practical experience and analytical thinking.

Begin your response by emphasizing the importance of data cleaning in data science. Showcase your knowledge of common steps like handling missing values, removing duplicates, and normalizing data. You might also mention specific tools or libraries you’ve used such as Pandas in Python that helps in these processes, demonstrating your technical proficiency.

In your answer, list the machine learning frameworks you are familiar with, such as Scikit-learn, TensorFlow, or PyTorch. Share a project where you effectively applied one of these frameworks. Discuss the problem you were solving, the model you chose, and the results achieved, highlighting your hands-on experience and understanding of machine learning.

Explain your approach to model validation, mentioning techniques like cross-validation, confusion matrices, and performance metrics you use to evaluate accuracy. You should also touch on the importance of iterating on model design based on results and staying informed about biases in data to ensure reliability.

Discuss your proficiency with data visualization tools like Tableau or Power BI, and how they enhance data storytelling. Talk about how you used these tools in previous projects to visualize data trends, communicate findings effectively, and influence decisions, demonstrating the importance of visuals in data analysis.

For this question, share a specific example of a data project where teamwork was essential. Discuss your role in the team, how you contributed, how you communicated with team members, and what you learned from the collaboration. This showcases your ability to work well in a team, which is critical for a Data Science Intern role at Visa.

Explain your approach to continual learning in data science, mentioning resources like online courses, webinars, data science blogs, or podcasts. Highlight any recent topics or technologies you’ve explored, showing your passion for the field and commitment to professional growth.

Discuss common challenges like data storage, processing speed, or data quality. Provide specific strategies you have implemented in past projects to mitigate these challenges, and explain how these solutions led to successful project outcomes, showcasing your problem-solving abilities.

Mention programming languages you are familiar with, particularly emphasizing Python due to its relevance in data science. Provide examples of projects where you have used these languages to manipulate data or build models, which illustrates your practical skills and coding abilities.

In your response, express your admiration for Visa’s innovative approach to payments and technology. Highlight how the Data Science team’s projects excite you, align with your career goals, and how you believe your skills and enthusiasm can contribute to the team. This aligns your personal motivations with the company's mission.