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Company: Mastercard
Location: Vancouver, BC, Canada
Career Level: Internship
Industries: Banking, Insurance, Financial Services

Description

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Data Engineer Intern, Summer 2025 – Vancouver, Canada Application Deadline: January 3, 2024
You must submit a cover letter, resume and transcript (unofficial/official).
Interviews will happen in January/February 2025.
Start & End date: May 5, 2025 to August 22, 2025 (no alternate start dates available).
Undergraduate with an expected graduation date in Spring 2026

Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has an opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.


About the Team

Data Science Engineers are responsible for the design, development and deployment of Machine Learning systems that support Data Science and Machine Learning solutions. Our ideal candidate would have experience in designing data flows, optimizing workflows in big data environments, functional programming and an understanding in Machine Learning concepts. You will be working with Data Science Researchers, and senior Data Science Engineers to collectively develop and deploy Machine Learning models within our platform.

Internship Program
Mastercard's summer internship program provides emerging talent with projects that will enhance skills as well as contribute to the department's goals and objectives. In this program, you will participate in:
Networking events, mentorship opportunities, and hear from senior leaders.
Volunteer and team building opportunities.
Formal performance assessments
End-of-summer presentations to peers and Mastercard leadership.

Role Description
As a Data Engineer Intern, you will be involved with:
• Work with big data platforms and technologies.
• Design complex, but scalable, maintainable and efficient systems.
• Maintain model pipelines, libraries and Machine Learning infrastructure.
• Automate and optimize Data Science tasks and workflows.
• Be responsible for the performance and the automated tests of our code.
• Independently analyze, propose and develop solutions for technical problems and issues.
• Communicate closely and effectively with engineering management, leads, and peers to gather and understand requirements, share project status and deal with unexpected issues.
• Ensure and enforce the adherence to the standards and procedures that result in an environment compliant with information security policy.

Qualifications

Currently enrolled in a bachelor's degree program majoring in Computer Science or a related field
Knowledge and experience in working with big data engine. You understand the benefits of batch processing and parallelization and know how to design a pipeline to scale-out Machine Learning workflows.
Experience with SQL and ETL process.
Experience in software development.
Understanding of Data Science and Machine Learning concepts.
Understanding of software development life cycle.
A capable coder, able to write well-abstracted, production-quality code in Python, Java or similar.
Experience in using cloud services (e.g. AWS, Microsoft Azure and/or Google Cloud) is desirable but not mandatory
Desire to work with data and help businesses make better data-driven decisions.
Excellent written and verbal communication skills
Strong troubleshooting and problem-solving capabilities.
Demonstrated analytical and quantitative skills.


Additional Skills:
Knowledge of at least one programming language
Python skills are desirable but not mandatory; willingness to learn and adapt to Python-based projects is highly valued.

Role Details:
Annual Salary: $1250/week CAD
You must submit a cover letter, resume and transcript (unofficial/official).
Interviews will happen in January/February 2025.
Start & End date: May 5, 2025 to August 22, 2025 (no alternate start dates available).
Undergraduate with an expected graduation date in Spring 2026
Applications will be reviewed on a first come first serve basis. Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • 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.




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