Data Science Intern (May to December 2026)

Visier gives organizations a Workforce AI Edge : a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate the productivity of their employees, and win by adapting to change faster. We're a global leader in AI-powered people analytics, workforce planning, and compensation management solutions. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both.

Founded in 2010 by the pioneers of business intelligence, Visier has over 60k customers in 75 countries - including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more.

Our co-op experience is unique and designed to prepare you for professional success. Our ultimate goal is to give you the mentorship, training and work experience you need to start your career successfully!

As part of Visiers R&D organization, our data science team is responsible for the development of advanced numerical algorithms and statistical techniques that generate business insights from human resource data. Mentored by an experienced Data Scientist you will collaborate on projects that match both your interests and Visier business needs. This could be software engineering focused (e.g. enhancing our machine learning pipelines or prototyping of automated insight generation), or research focused (e.g. unveiling compelling insights into the workforce from our unique multi-million employee cross-customers data set).

What you'll be doing...

• Modelling the problem at hand, such that it directly solves underlying business problems


• Brainstorming to identify the correct data required to solve business problems


• Performing statistical analysis on data to build statistical/machine learning models


• Identifying the right metrics to measure the success of the models and projects


• Communicating and presenting your work to stakeholders across the organisation


• Conducting independently research, in order to gain domain knowledge and learn cutting-edge techniques

What you'll bring to the table...

• Strong understanding of statistics and how to apply scientific methods to data using algorithms


• Coding skills in Scala, Python or other relevant languages


• Attention to detail and big picture thinking


• Currently pursuing your Masters or PhD


• Knowledge in one of the following areas would be an advantage:




• Hypothesis testing


• Machine learning techniques


• Scientific analysis and knowledge generation

The base pay range for this position in Canada is $5,500k / month.

The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

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