Data Scientist I

Dublin, Ireland

Mastercard

Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.

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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 Scientist I

Overview

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 the opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.

Launch Program

The Launch program is a development program that is supplemental to the role and is designed to help you transition from being a student to being a Mastercard employee. In this program, you will participate in:

• Four-day orientation focused on getting to know Mastercard, building your
skills, and be a force for good (Mastercard’s culture)
• Professional skills workshops
• Launch Innovation Week
• Social impact – pro bono team challenge

As a Data Scientist, you will have the opportunity to:

• Analyze large datasets to extract actionable insights, trends, and patterns.
• Develop and implement machine learning models to solve business
problems.
• Collaborate with cross-functional teams to support data-driven decision-
making.
• Present findings and recommendations to both technical and non-technical
stakeholders.
• Support the development of data tools, dashboards, and reporting systems.
• Stay up-to-date with the latest industry trends, technologies, and best
practices in data science and analytics.

Qualifications

• Currently enrolled in a bachelor’s or accelerated master’s program
graduating in summer 2025.
• Computer Science / Data Analytics background.
• Available to start a new role in September 2025
• Insightful problem-solver, able to gather input from multiple divergent
sources, narrow in on any problems or gaps, and propose effective
solutions.
• Conversant with data: comfortable working with data sets of varying sizes,
able to generate descriptive statistics and find simple patterns. Bonus:
knowledge of and experience with machine learning models.
• Familiar with at least one of the following tools: Tableau, SQL, Python, AWS,
Hadoop.
• Excellent communicator, especially in group settings and with
presentations to differing audiences.

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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Category: Data Science Jobs

Tags: AWS Computer Science Data Analytics Hadoop Machine Learning ML models Python Security SQL Statistics Tableau

Perks/benefits: Career development Salary bonus Team events

Region: Europe
Country: Ireland

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