Data internship, Summer 2026

About

Desjardins Group has adopted a data strategy to make the most of our data and improve the experience of our members and clients. We want to maintain our growth and achieve notoriety as a recognized leader that excels in the area of data valorization, security, compliance, ethics and governance. We offer a range of data internships that will allow you to sharpen your skills in:

Information analytics (business intelligence)

• Help deepen our understanding of members and clients through data valorization and analysis to support strategic decision making
• Create visual reports and make recommendations to meet the needs of internal partners

Advanced analytics

• Take part in exploring, evaluating and developing innovative AI methodologies and products to support data valorization
• Help innovate and explore in one of our areas of expertise, like structured and unstructured synthetic data, generative and multimodal language models, etc.
• Help monitor new advances in AI and support their adoption by Desjardins Group

Machine learning operations (MLOPS)

• Work alongside data scientists and IT experts on a multidisciplinary squad to design, develop, deploy and monitor machine learning and AI systems
• Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models
• Develop and maintain application programming interfaces (APIs) and software development kits (SDKs) that expose analytical models to applications in production

Data governance

• Document metadata in the information governance catalogue
• Prepare content for metadata loading templates and update the catalogue and reference databases
• Help data governance advisors classify metadata according to the current data architecture framework in a secure and private environment.

What you bring to the table

• Your educational institution must credit or certify your internship toward a bachelor’s degree or a master’s degree in an appropriate discipline.
• Knowledge of French is required
• Knowledge of tools such as Tableau and Power BI for information analytics
• Knowledge of SAS and SQL for information analytics
• Knowledge of machine learning algorithms, deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics
• Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc.) for advanced analytics
• Proficiency in software development, including object-oriented programming for machine learning operations
• Knowledge of MS Office suite (especially Excel) for data governance

At Desjardins, we don’t just support youth. We value their talent. There’s a difference.

#LI-Hybrid

Action oriented, Customer Focus, Differences, Nimble learning