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Employment Opportunities

Data Scientist

As a Data Scientist, you will work with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytic initiatives that are leveraged across the breadth of our Currency Exchange and Money Transfer solutions. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. If you are passionate about asking and answering questions in large and complex datasets, and you are able to communicate that passion to product managers and other staff, then this is the role for you.

We are seeking a dynamic Data Scientist to join our Data Science team. Reporting to the Director of Data Science, you will play an integral part of the team, providing analytical excellence which will drive XE strategy. At XE, your contributions can be appreciated by millions of people around the world, therefore we are looking for someone who is determined to show the world the power of applied analytics.

Established in 1993, XE has been selected as a GTA Top Employer multiple years. We are profitable, growing, and community-involved. In July 2015 XE became part of the Euronet (NASDAQ: EEFT) family, a global provider of electronic payment and transaction processing solutions for financial institutions, retailers, service providers and individual consumers. Euronet has over 4,600 employees in 39 countries who help process over 2.6 billion transactions a year which generates over $1.7 billion in annual revenue.

Each month, more than 35 million people use our foreign exchange tools and services, including the XE Currency Converter and the XE Currency App, which has received 55 million installs. Our money transfer services have booked billions of dollars in transactions and our commercial currency data has been used by thousands of corporate clients, from SMEs to Fortune 500 companies. XE is committed to continuing our role as leaders and innovators in our industry.

We want our team members to lead happy, healthy, balanced lives. Our 40-hour work week supports work-life balance. We offer generous benefits, including dental, maternity, and RSP matching. And if you need a break, you can use our well-equipped gym and showers. We provide delicious lunches every Friday, followed by some intense games of ping pong (to burn off the calories). We think the best relationships are built on respect, so we strive to ensure that this is reflected in our relationship with employees.

  • Identifies unique opportunities to collect new data.
  • Designs new processes and builds large, complex data sets.
  • Strategizes new uses for data and its interaction with data design.
  • Locates new data sources, analyzes statistics and implements quality procedures.
  • Performs data studies of new and diverse data sources.
  • Conducts statistical modeling and experiment design.
  • Discovers “stories” told by the data and presents them to business managers.
  • Tests and validates predictive models.
  • Implements automated processes for efficiently producing scale models.
  • Designs, modifies and builds new data processes.
  • Generates algorithms and creates computer models.
  • Collaborates with IT and software development engineers and other scientists.
  • Implements new or enhanced software designed to access and handle data more efficiently.
  • Trains the data management team on new or updated procedures.
  • Bachelor’s degree in computer science, Statistics, or Math.
  • Master’s degree in statistics, business analytics or an advanced computer programming field.
  • Previous experience working in data mining or natural language processing.
  • Possesses a mastery of statistics, machine learning, algorithms and advanced mathematics.
  • Has strong critical thinking skills and the ability to relate them to the products or services the company is producing.
  • Displays understanding of and ability to use programming languages like Python and SQL (Structured Query Language).
  • Advanced user of SAS, SPSS, and/or R along with Tableau.
  • Shows strong knowledge of basic and advanced prediction models.
  • Possesses a combination of creative abilities and business knowledge.
  • Has data mining knowledge that spans a range of disciplines.
  • Displays superior technical coding abilities.
  • Possesses strong exploratory analysis skills.
  • Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
  • Can think and research creatively.
  • Displays exceptional organizational skills and is detail oriented.
  • Experience with Amazon Web Services (AWS) is considered an asset.


XE.com welcomes and encourages applications from people with disabilities. Please advise the Recruiter to ensure your accessibility needs are accommodated throughout the process. Information received relating to accommodation will be addressed confidentially.

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