Data Scientist; Data Visualisation

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Data Scientist (Data Visualisation)

• The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy
• The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers
• The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentations, global thought leadership, media participation, and commercial work through the company’s product suites

We are looking for a Data Scientist to join Mastercard’s Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will:

• create clear, compelling data visualisations that communicate economic insights to diverse audiences
• develop reusable functions and packages to support analysis and automation
• create and format analytical content using R Markdown and/or Quarto
• write clear, well-documented code that others can understand and maintain

• passionate about using data visualisations to tell stories
• 1–3 years experience in creating data visualisations
• proficient in R or Python
• proficient in using code to clean data, transform, and aggregate data
• familiar with version control concepts and tools for collaborative development
• experience writing SQL and working with relational databases
• creative and passionate about data, coding, and technology
• strong collaborator who can work independently, prioritise across multiple projects, and work effectively with engineers, product owners, and economists

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.