2027 Graduate Program, Technology Services - Emerging AI and Data Solutions

Verdun · Posted Sep 18

Apply

At a glance

Location: Verdun
Work type: Onsite
Category: Data

Bell's 24-month Technology Services Emerging AI and Data Solutions Graduate Program rotates through Data Science, Machine Learning Engineering, and Data Engineering to build end-to-end data and AI solutions, with exposure to MLOps, ETL pipelines, and cloud data platforms in a Canada-based program.

What they are looking for

Data scienceMachine learning engineeringData engineeringEtlMlops

Location: Verdun, QC, CA

New Graduate

Sep 18, 2026

2027 Graduate Program, Technology Services - Emerging AI and Data Solutions

Req Id: 432894

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

Launch your career at Bell and join the best-in-class Internship/Graduate Program. You’ll be empowered to shape your future and inspired to bring your best ideas to work. Throughout the program, you’ll have the chance to connect with mentors and senior leaders who will support your professional and personal growth journey. You’ll develop real-world skills and join other interns and grads attending exclusive events and networking opportunities.

At Bell, innovation drives us. With advanced tech, AI tools, and a collaborative culture, you’ll shape the future and grow your career. Join us!

Why Join Us

Join Bell's Technology Services Graduate Program and shape the future of cloud, data, and AI-enabled solutions. Through our 24-month rotational program, you'll work alongside industry experts to contribute to high-impact projects, build in-demand technical skills, and receive leadership development designed to accelerate your career.

What You'll Do

As a Technology Services Emerging AI and Data Solutions Graduate, you’ll help build, deploy, and scale end-to-end data and AI solutions that enable data-driven business decisions. This program prepares you for specialized roles across three core disciplines: Data Science, Machine Learning Engineering (MLE), and Data Engineering (DE).

Accelerate your growth in a 24-month rotational program, shifting from a foundational role to a second placement to broaden your technical and leadership experience.

Explore complex enterprise datasets, perform advanced exploratory data analysis, build predictive machine learning models and AI agents that optimize business operations

Build, test, and scale production-grade ML and Generative AI applications using MLOps best practices (CI/CD, monitoring, and automation).

Design and maintain scalable ETL pipelines and data models across structured and unstructured repositories. Collaborate with cross-functional teams to support project delivery, technology modernization, and strategic initiatives.

Apply data-driven analysis and systems thinking to address complex challenges, continuously evaluating and leveraging cutting-edge AI tools, emerging deep learning frameworks, and modern cloud data platforms to drive solution quality.

Education & Eligibility

Bachelor's degree, master's degree, college diploma, or CEGEP diploma in Computer Science, Mathematics, Engineering, Statistics, Business Analytics, Information Systems, or a related field.

Less than three years of combined professional work experience, excluding internships.

Eligible for Bell's Graduate Program as outlined on the Students & Graduates website.

Located in, or willing to relocate to, the Greater Toronto Area, Montreal, Ottawa, or Quebec City.

Core Capabilities & Technical Skills

Familiarity with programming, scripting, or analytical languages (e.g., Python, SQL, R) to analyze datasets and build models, alongside a basic understanding of core programming principles, object-oriented concepts, or version control (e.g., Git).

Foundational knowledge of databases, data modeling standards, data pipelines/ETL concepts, and cloud-native environments (e.g., Docker, Kubernetes, Google Cloud/AWS).

Familiarity with basic object-oriented programming or scripting languages enabling you to build, automate, understand and analyze the underlying logic of complex software systems, AI models and/or datasets.

A proven ability to bridge the gap between business and technical by translating complex business needs into clear technical requirements, user stories, process flows, and conceptual architecture plans.

Foundational understanding of AI/ML lifecycle principles, Generative AI concepts, and LLMs, with exposure to modern frameworks and prompt engineering. Comfortable preparing and presenting data insights using visualization tools or libraries to communicate findings and tell a clear story.

Exposure to collaborative project tools (e.g., Jira, Confluence, Miro) or Agile concepts.

Strong aptitude for systems thinking, breaking down complex engineering challenges, and evaluating technical trade-offs while navigating ambiguity in dynamic environments.

Demonstrated leadership, accountability, and initiative through academic projects, student organizations, competitions, volunteer activities, or other extracurricular experiences.