Data Science

Visa; Greater London; On-site; GBP 18,000 - 24,000; Full time

Job summary

Visa набирает стажёров в команду Data Science. В рамках программы вы будете работать над реальными проектами, анализировать данные и разрабатывать аналитические решения, помогающие бизнесу.

Команда Data Science занимается моделями, аналитикой и BI-отчетами для глобальных партнёров Visa. Вакансия требует учёбу по бакалавриату/магистратуре в области CS, Data Analytics or смежной STEM, выпуск 2027-2028 гг; уверенное владение Python/SQL; опыт работы с Power BI и Tableau будет преимуществом.

Qualifications

• Степень бакалавра или магистра в CS, Data Analytics или смежной STEM области, выпуск 2027–августа 2028.
• Сильные навыки устной и письменной коммуникации и профессиональный уровень суждений.
• Опыт анализа данных с помощью Python, SAS, R, Stata или аналогичных инструментов.
• Опыт визуализации в Power BI и Tableau.
• Опыт работы с SQL для извлечения и агрегации данных.

Responsibilities

• Разрабатывать аналитические решения для решения бизнес-задач.
• Подготавливать наборы данных с использованием Python, SQL, Spark или Hive, эффективно обрабатывать данные.
• Проводить бизнес-анализ данных и понятно передавать выводы стейкхолдерам.
• Проектировать BI-инструменты с Power BI и Tableau.
• Контролировать и улучшать BI-инструменты, демонстрируя результаты командам.
• Проводить крупномасштабный анализ данных и представлять результаты руководству Visa.

Skills

Python

SQL

SAS

R

Stata

Power BI

Tableau

Excel

PowerPoint

Statistics

Education

Bachelor’s or Master’s in STEM

Tools

Python

SQL

SAS

R

Stata

Power BI

Tableau

Job description

Описание:

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.

Задачи:

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. 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 PowerBI 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.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Требования:

• 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.
• 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