Description

Internship Opportunity

Build the future with us

Are you passionate about data science, predictive modeling, or artificial intelligence? Do you want to contribute to an organization whose purpose is to help clients feel confident and secure about their future? As a Student - Data Science, Modeling and AI, you will play a key role in analyzing and optimizing processes within the HR Platform, Innovation and People Intelligence team.

This position is a great opportunity to showcase your skills and fully realize your potential within a caring and trustworthy company. Here, people and their development are at the heart of our priorities, fostering an environment that encourages collaboration and innovation.

What You Will Accomplish With Us

As a Student - Data Science, Modeling and AI, you will be at the core of our mission. Here are the main responsibilities:

Profile: “Innovation and Artificial Intelligence”

- Analyze and prepare HR data by exploring, cleansing, structuring, and documenting data from HR systems and the organization’s data platforms;
- Rapidly test hypotheses, compare results with observations from user teams, and integrate feedback loops;
- Apply responsible AI principles and contribute to explainable, fair, secure solutions that comply with governance requirements and privacy regulations;
- Develop a precise and well-defined solution that addresses a business problem using innovation, automation, and artificial intelligence (AI) tools, including agent design.

Profile: “Modeling and Data Science”

- Analyze and prepare HR data by exploring, cleansing, structuring, and documenting data from HR systems and the organization’s data platforms;
- Develop predictive models and design approaches to forecast the future evolution of HR metrics (e.g., retirements, hiring trends, etc.);
- Rapidly test hypotheses, compare results with observations from user teams, and integrate feedback loops;
- Validate performance,



including monitoring performance indicators, analyzing false positives, prioritization gaps, potential biases, and recommendation quality.

What Could Accelerate Your Success In This Role We are looking for someone who:

- Is currently enrolled in a master’s degree in Data Science, Artificial Intelligence, Computer Science, Software Engineering, Computer Engineering, Mathematics, Applied Statistics, or a related field;
- Demonstrates autonomy;
- Has strong collaboration skills;
- Shows resourcefulness and a willingness to learn;
- Is recognized for their curiosity;
- Has knowledge of Python and common data science tools;
- Has knowledge of machine learning, AI, data analysis, and model validation methods;
- Has previous experience with the Power Platform (Power Automate, Copilot Studio, Power Apps, and Power BI);
- Has an interest in LLMs, recommendation systems, applied AI, and people analytics;
- Has knowledge of SQL, Git, and cloud-based data environments;
- Has experience with Azure, Azure Machine Learning, Azure OpenAI, Snowflake, or another cloud platform (an asset).

Why you will love working with us

- A work environment where learning and development merge with a collective pursuit of excellence.
- Artificial intelligence is in everyone's hands, enabling you to increase your personal efficiency and supporting the organization's growth.
- A healthy, safe, fair, and inclusive environment where potential can be freely expressed and developed.
- The possibility to work in a hybrid workplace supported by flexibility and access to inspiring, innovative workspaces.
- Student benefits: Access to internal training, mentoring, involvement in real projects, flexible schedules adapted to studies, and a rewarding experience for your professional journey.

Apply now and get ahead of your career, where your talent really belongs! Still unsure about applying? At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply – your place might be with us, and we want to get to know you!

📌 Student - Data Science, Modeling and AI (Quebec City)
🏢 iA Financial Group (Industrial Alliance)
📍 Quebec City