Data Scientist II

Bell Canada; Mississauga; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Bell employee discount (35%)

Hybrid work arrangements

Job summary

The successful candidate will lead the Consumer Business Intelligence (CBI) team at Bell Canada, acting as the technical lead for AI capability delivery and production deployment across the enterprise stack. This hands-on role focuses on building scalable, responsible AI workflows and guiding the team from experimentation to production use cases.

You will architect and deploy agentic AI systems, collaborate with BI stakeholders, and ensure robust engineering standards while driving immediate

Qualifications

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

Responsibilities

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

Skills

Python & SQL

Teradata BI

Generative AI delivery

Cloud AI platform

ML frameworks

Git workflows

Data integration

Communication

Education

Bachelor’s or Master’s degree in CS/Data Science/Engineering

Tools

Teradata

AWS

Azure AI Foundry

Gemini Enterprise

Job description

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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.

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 new 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

#LI-SS1

Adequate knowledge of French is required for positions in Quebec.

Additional Information

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.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. 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. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

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 [e-mail] 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.

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