This application is specifically for the Internship program. Please ensure you are eligible to the program as specified on the Students & Graduates website.

Why join us?

• Benefit from unique opportunities to engage in high-impact projects across our business to develop skills and instincts that will benefit your studies and future career.
• Deliver on transformational projects to launch new product roadmaps, services, and solutions, to enable the customer to do more.
• Expand your professional network with industry leaders, making valuable connections for your future including one-to-one mentorship with experienced leaders.
• Develop your analytical, project management, and communication skills with training and hands-on, real-world experiences to challenge and grow you.
• Interact with our peer-to-peer support network of #TeamBell community and recent grads enrolled in our full-time Graduate program.
• Develop your technical and leadership skills through formal and experiential training programs.
• You will have the opportunity to secure a full-time permanent position in our award-winning Graduate program.

What you’ll do

As an intern, you will support the cutting-edge of Bell’s transformation in critical technologies such as Cloud, AI/ML and Data. You’ll be a part of projects that expose you to the latest software and tools, collaborating with teams across Bell for process improvement and automation. Your day-to-day experience will include opportunities to offer insights that influence business decisions and technology investments across Bell.

What we’re looking for

Within our Data Analytics & AI function, we have several opportunities available. For more details on each of the below roles, click here.

• Business Intelligence Analyst
• Data Engineering
• Data Scientist
• Machine Learning Engineering

Requirements

• You’re a first to third year student studying towards a university degree OR college/CEGEP diploma in Computer Science, Mathematics, Statistics, Engineering, Business Analytics, or a related field.

Technical skills (you have some of the following)

• You can analyze, process, and visualize complex data quickly.
• You have experience using SQL for data exploration and insights.
• You have knowledge of data analytics theory, including statistical analysis and quantitative and qualitative modeling.
• You are familiar with programming languages like Python, Scala, R, or similar.
• Some knowledge of analytical tools such as Looker, Kibana, and Microstrategy.
• You have knowledge of machine learning and artificial intelligence concepts and their potential applications.
• You are aware of Agile and CICD methodologies in software development

Leadership skills

• You are willing to challenge the status quo, experimenting to find solutions that will make a difference in the lives of Bell’s customers.
• You are goal-oriented and can focus on individual tasks while also understanding the bigger picture and how systems work together.
• You are a skilled communicator balancing urgency, empathy and integrity. You speak and write clearly and concisely, and you listen with the purpose of encouraging transparent dialogue.
• You gain the trust of your teams, being known for demonstrating fairness and respect.
• You promote belonging and are flexible, accountable and collaborative.
• You are committed to growing your skills and learning from others.

Applying is simple

Our application process is designed to be straightforward, so you can show us who you are and we can easily spot your #TeamBell potential.

1. Review our programs and indicate up to three role choices in your application.
2. Complete your video interview within 72 hours.
3. If selected, you will be invited to complete a phone interview or assessment to better understand your skills and experience.
4. If selected from previous step, you will be invited to a virtual panel interview.

Get started by clicking Apply on this page. Submit a resume, and most recent transcripts (unofficial accepted) to be considered.

Offers will be made to qualified interns ongoing from October 2025 to February 2026 or until all positions are filled.