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Summary
The successful candidate will hold a key role within the Consumer Business Intelligence (CBI) group, acting as the technical lead and primary AI capability builder for a highly delivery focused team. In this hands‑on capacity, you will guide the shift from AI experimentation to production deployment by delivering priority use cases and establishing robust engineering standards across the vertical. Operating at the forefront of applied artificial intelligence, you will provide technical guidance and direction to the broader team on AI solutioning and architecture. This role requires an intense focus on building and deploying scalable agentic workflows, machine learning models, and integrations across our enterprise stack to unlock immediate business value.

Key Responsibilities

Design, build and deploy end-to-end production artificial intelligence solutions to address priority business needs

Develop agentic workflows and multi-agent orchestration on enterprise platforms including Gemini Enterprise, AWS Bedrock and Azure AI Foundry

Architect and optimize retrieval-augmented generation pipelines including chunking, embedding, vector store design and grounding

Lead machine learning model development from initial feature engineering through evaluation, explainability and production monitoring

Establish rigorous engineering standards covering Git workflows, code review, repository structure, testing, continuous integration and deployment

Build robust data and integration pipelines connecting enterprise systems including Teradata, BigQuery and Salesforce

Provide technical leadership and hands‑on guidance to upskill team members on advanced artificial intelligence techniques

Partner with business intelligence stakeholders to assess feasibility, effort,



risk and value for incoming use cases Implement responsible evaluation practices encompassing accuracy testing, hallucination guardrails, human-in-the-loop controls and cost monitoring Maintain a continuous awareness of the rapidly evolving technological landscape to introduce current capabilities to the team

Critical Qualifications

Bachelor’s or Master’s degree in computer science, data science, engineering, statistics or a related field

2 or more years of hands‑on data science, machine learning or AI engineering experience with demonstrated production delivery

Advanced proficiency in Python and SQL with extensive enterprise data warehouse experience such as Teradata

Demonstrated hands‑on generative AI delivery including agentic workflows and retrieval-augmented generation supported by a portfolio or practical experience

Hands‑on experience building solutions on at least one major cloud artificial intelligence platform

Solid machine learning foundations with framework experience including scikit‑learn, XGBoost, PyTorch or TensorFlow

Deep expertise in Git‑based development workflows and modern software engineering best practices

Passion for maintaining a forward‑looking mindset with a strong willingness to challenge conventional approaches to artificial intelligence

Ability to work in a fast‑paced, dynamic environment and manage multiple projects through effective prioritization

Ability to communicate effectively with all levels of the organization, including the ability to grasp complex AI concepts and explain them clearly to large non‑technical audiences

Strong data analytical and problem solving skills and demonstrated ability to be highly creative in formulating solutions

Preferred Qualifications

Familiarity with cloud‑based technologies and services, such as AWS or Google. Relevant certifications (e.g., Google & AWS Certified Solutions Architect, Google Cloud Generative AI Leader) are an asset





Strong understanding of MLOps and LLMOps practices for deploying and managing models at scale

Advanced modelling and optimization techniques such as constraint programming and operations research

Experience with Salesforce, Tableau or comparable customer relationship management and business intelligence platforms

Bilingual (French/English) is an asset

Telco experience is considered an asset

Additional Information
Adequate knowledge of French is required for positions in Quebec.

Position Type: Management Job Status: Regular - Full Time Job Location: Canada : Ontario : Mississauga || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 09/11/2026

For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well‑being of you and your family.

medical, dental, vision and mental health benefits that you can tailor to your specific needs

35% discount on our services and access exclusive offers from our partners

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or [email protected] to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

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📌 Data Scientist II (Ontario)
🏢 Bell
📍 Ontario