Job Description

Req Id: 425870



At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It's all developed and delivered by the members of #TeamBell and we're always on the lookout for people with great skills and experiences.



We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have - making every day better for people as they connect, work, learn and play.



Join us. You belong at Bell.



At Bell, data experts like you are revolutionizing how data can transform every aspect of industry-leading businesses, making them better!



As part of our team, you'll be driving our Data as a Service (DaaS) transformation, creating a powerful Bell Cloud Data Mesh that enables seamless sharing of data across the enterprise.





You'll work in a DevOps mode, leading development, engineering and operations to create a reliable and scalable data framework across the company. Your work will be critical to our operations, ensuring our development roadmap aligns with evolving business needs.

Summary

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We are seeking a highly skilled and experienced Data Scientist to join our Data Engineering and Artificial Intelligence team which is at the forefront of innovation. The ideal candidate will possess a strong understanding of data science principles, advanced technical skills, and the ability to communicate effectively to all levels within the organization. As part of this team, you will have opportunities to use your data science and leadership skills to shape the next generation of AI/ML to truly transform how Bell operates.



Our goal is to leverage the power of Artificial Intelligence and Machine Learning to provide the best service for our customers while accelerating our product roadmaps. The work we do is critical in ensuring that Bell remains the best telecommunications provider in Canada.

Key Responsibilities

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Lead the development of machine learning products and models from inception to production Build scalable, production-grade AI-driven applications leveraging generative AI models (e.g., image/text/video/code generation) Identify areas for AI/ML opportunities and demonstrate to internal clients how AI/ML can improve their business Collaborate with cross functional teams of data scientists, data engineers, and product managers in solving business problems Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc. Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness. Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems.

Critical Qualifications

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Bachelors degree, or Masters in a discipline such as Mathematics, Statistics, Machine Learning, Data Science, Computer Science or related area 3-6 years of relevant work experience in a hands-on data scientist or related role Algorithms + Advanced knowledge of machine learning techniques: classification, regression, clustering, deep learning, and others
+ Hands-on experience and expertise with different ML frameworks such as Scikit-Learn, XGBoost, TensorFlow, BQML, SparkML
+ Exposure to Gen AI tools and frameworks, such as various large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and orchestration
Coding + Advanced Python development skills
+ Experience with Google Cloud tools
+ Experience with web API development for AI integration and prototyping
+ Experience with CI/CD pipelines
+ Excellent code design (OOP, Algorithms, and Data Structures)
Data + Advanced ability to query, analyze, and visualize data
+ Proficiency with BigQuery, Teradata, Python libraries, MicroStrategy
+ Experience in preprocessing of structured and unstructured data
+ Understanding RDBMS, Distributed, and NoSQL databases


Adequate knowledge of French is required for positions in Quebec.

Additional Information:

Position Type: Management

Job Status: Regular - Full Time

Job Location: Canada : Ontario : Toronto || Canada : Ontario : Mississauga

Work Arrangement: Hybrid

Application Deadline: 10/17/2025



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.



Please apply directly online to be considered for this role. Applications through email will not be accepted.



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.



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 recruitment@bell.ca 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.





Created: Canada, ON, Toronto