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Customer Experience, Marketing, and Applied Technologies 
New grads in this program have the opportunity to work with the hottest technologies, marketing techniques, and big data to drive change that will move the business forward.

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AI & Data Engineering Graduate Leadership Program
If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be. Bell’s Business Intelligence teams use machine learning to drive business decisions and create solutions that directly enhance our products and services.
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Marketing, operations & applied technologies graduate leadership program

Help our teams deliver the best customer experience as you explore different areas of the business while gaining expertise in data analytics and customer operations.
Explore all opportunities
Why join the program
  • Find your passion by rotating through variety of functions and business units within Bell.

  • Liaise with cross-functional teams to build outstanding products, services, and campaigns.
  • Develop new skills and experience to drive your career success.
  • Expand your network as you work with the brightest minds in the industry.
  • Identify opportunities for improvement and growth with our one-to-one mentoring.
What you can do
  • Analytics​​​​​​​
  • Project Management
  • Marketing
  • Strategy
  • Product Development
  • Operations
  • Sales
  • Retail
What we are looking for
  • A university degree completed before the program start date, and you completed your degree no earlier than three years before your application date.
  • Your degree is in engineering, computer science, business technology management, math/statistics, business, economics, business analytics, or social sciences.
  • You have a college diploma or post-grad certificate in a STEM-related field completed before the program start date, and you completed your diploma/certificate no earlier than three years before your application date.
  • You understand the basic principles of working with large and complex datasets.
  • You have introductory experience or have the desire to learn data tools and software such as SQL, SAS, MicroStrategy, and Unica.
Locations
  • Ontario; Greater Toronto Area
  • Québec; Montréal
Program structure
  • 14 month rotational program (2 rotations)
  • Permanent position after rotational program
  • 4 months of your time in the program will be spent on the front lines gaining a 360° view of the customer experience
Role Profiles
 Customer Experience Strategy, Design and Delivery 
End-to-end involvement in problem definition and analysis, as well as solution design, execution, and monitoring.

Operations and Business Strategy
Manage short term and day-to-day workforce operations within call centres across Bell’s Customer Experience Team.

Digital Advocacy (Web and App)
Work on full-cycle product management of one or more AI/ML product lines.

Communications and Brand Development
Develop customer communications and campaigns.

Marketing Campaigns and Pricing Strategy
Develop and lead end-to-end execution of mass and targeted marketing campaigns. Determine appropriate pricing and value of services and products by analyzing market trends.

Channel Sales Strategy
Navigate new business opportunities at all business levels (strategic to operational) in an effort to drive sales results across Retail, Direct, and Online channels.

Product Management (Internet, TV, 5G and IoT)
Bring new ideas to life through end-to-end product management.

Business Intelligence Analyst, Operational Insight and Support
Apply the latest tools to analyze and interpret data to provide insight into customer behaviour and inform marketing contact strategies.

Machine Learning Developer
Design, develop, test, and employ machine learning methods.

Application Developer
Contribute to the digital design of Bell’s award-winning mobile application.

BI data science + developer graduate leadership program

Bell’s Business Intelligence team collaborates with partners across the organization and provides strategic guidance supported with data. We work with the latest and greatest BI technologies like SAS, Hadoop, and Python to leverage big data and artificial intelligence to create intellectual property.


This is a terrific opportunity for recent graduates or graduating students to help transform the organization in driving one of the most significant strategic mandates within Bell. As part of this team, you will have opportunities to work with new technologies, build project management skills and discover meaningful insights that will ultimately impact millions of customers.
Explore all opportunities
Why join the program


Over the course of 12 months, the BI Data Science + Developer Program allows you the opportunity to enhance your professional skills and expand your knowledge of BI and new technologies through training opportunities, while working on exciting projects that include marketing optimization, fraud detection, and AI/Machine Learning.


You will spend the first 2 months on the front lines gaining a 360° view of the customer experience while working on a special project to put your learnings towards improving the customer experience.


From there, you will be assigned a permanent role in one of the following areas based on your skills and interests: 

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  • Data Analyst
  • Technical Project Manager
  • AI/ML Program Manager
  • Data Engineer
  • Data Scientist
  • Machine Learning Engineer
What you can do

  • Leverage sophisticated analytical techniques including predictive modeling, text mining, forecasting, neural networks, segmentation and other data mining methods.

  • Explore large, new sources of data; communicate and present insight opportunities to business teams across the organization to influence decision making.
 
  • Translate business requirements into design, implementation and documentation of efficient AI & Data Engineering processes
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  • Take part in defining and improving the overall architecture to create effective enterprise-level data solutions.
What we are looking for


  • You have a university degree completed before the program start date, and you completed your degree no earlier than three years before your application date.
  • Your degree is in Machine Learning/AI, engineering, mathematics/statistics, or computer science


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


Technical Product Manager:

  • Supporting Data Engineering, Data Science and ML Eng projects
  • Creating WBS’ and updating the project team’s status
  • Removing blockers and enable the team to deliver
  • Leading agile meetings such as backlog refinements, sprint retrospectives, sprint reviews
  • Working with legal, privacy and finance to keep projects on track


AI/ML Program Manager:

  • Full lifecycle support of products including ideation, coordination, business adoption, performance monitoring and iteration
  • Leading use case discovery with business partners and coordinating into a concise roadmap to be executed on with business and technical teams
  •  Influencing partner teams on the right direction to take and working closely with them to ensure proper prioritization of activities.
  •  Communicating with partner teams on ideation, task status, value add and feedback
  • Leading agile meetings such as backlog refinements, sprint retrospectives, sprint reviews


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++
Locations
  • Ontario; Greater Toronto Area
  • Québec; Montréal
Program structure
  • 12 month program
  • You will be assigned a permanent role in one of the following areas in based on your skills and interests: Data Engineering, Software Development, or AI and Machine Learning

Rotations

First 2 months on the front lines gaining a 360° view of the customer experience while working on a hands on project to apply your learning towards improving that customer experience.

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