2024 Customer Operations - AI & Data Engineering Co-op Program

Req Id : 414140

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we're revolutionizing how Canadians communicate.

If you're ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be.

We lead applied data science projects to support contact centre operations, sales, marketing, media, and more! Bell's forward-thinking AI & Data Engineering team is helping create the ultimate service experience for our residential, wireless and small business consumers.

Are you looking for a great career opportunity next summer? Are you a quick learner who is ready to gain practical skills in data analytics?

We are looking for talented and enthusiastic individuals to join the Bell team in 2024! Our co-op offers a crash course in business operations, gained through hands-on experience working with some of Canada's largest brands including Bell Mobility, Bell Fibe, and Virgin Mobile.

Over the course of our 4 to 16-month co-op program, you will :

Apply your learnings : Improve the customer experience by working with your fellow co-op students on critical business projects.

Our executive team carefully selects project topics, which offer co-op students an opportunity to make tangible impacts.

Discover opportunity : Explore the many career paths at Bell while building an extensive network as you connect with the brightest minds in the industry.

Pourquoi se joindre à nous :

Why join us :

• Learn how to leverage and use data to drive results as you produce and present business cases to our senior Leadership Team.
• Develop your analytical, project management, and communication skills with training and hands-on opportunities to apply your learnings.
• Interact with our peer-to-peer support network and receive mentorship from recent Grads enrolled in our full-time Graduate Leadership Program.
• You will have the opportunity to secure a full-time permanent position in our award-winning Graduate Leadership Program.

You should apply if :

• You are graduating between spring 2025 to spring 2026.
• You are enrolled in a university Bachelor's or Master's degree in Machine Learning / AI, engineering, mathematics / statistics, or computer science.
• You are enrolled in a full time college program in any of the above areas and are required to complete an integrated work experience.
• You are aligned with working in-person at a Toronto or Montreal-based Bell office location a minimum of 3 days per week.

We value in-person collaboration and believe working in-office is the best way to establish meaningful relationships, build your network, and interact with our Leadership Team.

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 cycle support of Data Engineering, Data Science and ML Engineering 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, and 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 audience.

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++

Application Instructions :

• Apply directly on Bell's career page.
• Submit a resume and most recent transcripts (unofficial accepted).
• When prompted, indicate three role profiles that interest you. Before submitting your application, please visit jobs.bell.

ca / ca / en / campus-glp-customer-operations for more information on each of the following role profiles : Data Analyst AI Project / Product Manager Data Engineer Data Scientist Machine Learning Engineer

Adequate knowledge of French is required for positions in Quebec.

Additional Information :

Position Type : Management

Job Status : Intern

Job Location : Canada : Ontario : Toronto Canada : Quebec : Montreal

Work Arrangement : Hybrid