Internship program:
Customer operations
Internship program:
Customer operations
Customer operations
Customer Experience, Marketing, and Applied Technologies
Our internship offers a crash course in business operations, gained through hands-on experience at some of Canada's largest brands including Bell Mobility, Bell Fibe, Virgin Mobile, and more. This unique program will not only give you extensive knowledge and hands-on experience working on complex business issues, it will also enable you to develop your leadership skills.
AI & Data Engineering
If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be. Bell’s AI and Data Engineering teams use machine learning to drive business decisions and create solutions that directly enhance our products and services.
Customer experience, marketing, and applied technologies internship
Our internship offers a crash course in business operations, gained through hands-on experience at some of Canada's largest brands including Bell Mobility, Bell Fibe, Virgin Mobile, and more. This unique program will not only give you extensive knowledge and hands-on experience working on complex business issues, it will also enable you to develop your leadership skills.
Why join the program
- Learn how to leverage and use data to drive results as you produce and present business cases to our senior leadership team.
- Liaise with cross-functional teams to build outstanding products, services, and campaigns.
- Interact with our amazing peer-to-peer support network, including mentorship opportunities from recent grads who are in our full-time rotational Graduate Leadership Program.
- Opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program once graduated.
Program structure
Over the course of our four-month program, you will:
- Learn from the customer: Work directly with our customers through our call centers and online e-chat services as you learn about our services and customer support systems.
- Apply your learnings: Work within teams across Customer Operations in a specific function, learning from the best in the business to execute on a final project.
- Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
Location
- Ontario; GTA
- Quebec; Montreal
What we're looking for
- You are graduating in spring 2025 or spring 2026 with a Bachelor’s degree in engineering, computer science, business technology management, math/statistics, business, economics, business analytics, or social sciences.
- You are graduating in spring 2025 with a Master’s degree in any of the above areas.
- You are enrolled in a full-time college program in any above areas and are required to complete an integrated work experience.
- You are excited about technology and telecommunications and the impact we have in the lives of Canadians.
- You have demonstrated curiosity, initiative, leadership and a passion for learning new skills.
- You have excellent interpersonal and communication skills (verbal and written)
AI & data engineering internship
If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be. Bell’s AI and Data Engineering teams use machine learning to drive business decisions and create solutions that directly enhance our products and services.
Why join the program
- Learn how to leverage and use data to drive results as you produce and present business cases to our senior leadership team.
- Enhance your professional skills and expand your knowledge of AI & Data Engineering through training opportunities, while working on exciting projects at Bell.
- Interact with our amazing peer-to-peer support network, including mentorship opportunities from recent grads who are in our full-time rotational Graduate Leadership Program.
- Opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program once graduated.
Program structure
Over the course of our four-month program, you will:
- Learn from the customer: Work directly with our customers through our call centers and online e-chat services as you learn about our services and customer support systems.
- Apply your learnings: Work within teams across AI & Data Engineering in a specific function, learning from the best in the business to execute on a final project.
- Discover opportunity: Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.
Location
- Ontario; GTA
- Quebec; Montreal
What we're looking for
- You are graduating in spring 2025 or spring 2026 with a Bachelor’s degree in Machine Learning/AI, engineering, mathematics/statistics, or computer science.
- You are graduating in spring 2025 with a Master’s degree in any of the above areas.
- You are enrolled in a full-time college program in any above areas and are required to complete an integrated work experience.
- You are excited about technology and telecommunications and the impact we have in the lives of Canadians.
- You have demonstrated curiosity, initiative, leadership and a passion for learning new skills.
- You have excellent interpersonal and communication skills (verbal and written)
Data Analyst:
- Develop automated analytical solutions (BI reports and dashboards)
- Draw insights and make recommendations to technical and non-technical audiences based on the understanding of business strategy and stakeholder
- Collaborate with business, operations, data engineering, AI/ML and IT teams to conceive and implement tracking properties for new and existing programs
- Leverage modern BI technology such as Teradata SQL, BigQuery, SAS, and MicroStrategy
AI Project/Product Manager:
- Full lifecycle support of Data Engineering, Data Science and ML Eng projects or products
- Leading use case discovery with business partners and coordinating into a concise roadmap and WBS to be executed on with business and technical teams
- Leading agile meetings such as backlog refinements, sprint retrospectives, sprint reviews
- Performing analysis on benefits and KPIs to gauge project/program opportunities and performance
- Communicating and prioritizing with partner teams on ideation, task status, value add, feedback and providing technical updates to non-technical audiences
Data Engineer:
- Design, development and maintenance of data pipelines (Batch and Real Time)
- Get exposed to data modeling and architecture (Normalized and multidimensional)
- Exposure to data warehouse technologies such as SQL Server, BigQuery, Teradata, SAS or others
- Shifting to leverage Google Cloud tools
- Would be helpful to have experience with one of the following programming languages: SQL, Spark, Java, Scala, Python, C+
Data Scientist:
- Highly driven to learn about the newest machine learning techniques and to apply them to solve business problems
- Building of ML Algorithms including supervised and unsupervised learning, deep learning modules
- Opportunity to focus on applied NLP techniques
- ML frameworks such as HuggingFace, Pytorch, TensorFlow, Scikit-learn, H2O, etc.
Machine Learning Engineer:
- Design, development and maintenance of data pipelines
- Development of ML applications, productionize both real-time and batch ML models
- Leveraging Google tools such as Vertex AI platform and Dataflow
- Exposure to development tools such as version control systems and IDEs
- CI/CD pipelines (GitLab CI/CD, Jenkins, TeamCity)
- Exposure to container environments like Docker/Kubernetes/OpenShift/GKE
- Would be helpful to have experience with programming languages such as SQL, Java, Python, C++