Data Scientist I
Req Id: 429229
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.
Become an integral part of our Customer Experience team, where you will be at the forefront of shaping our customer journeys. You will build on Bell’s Strategic Imperative to Champion Customer Experience and reinforce our commitment to put the customer first in everything we do. Design innovative, customer-centric processes, policies, products and services, while upholding our Customer-First Commitments to make it easier for customers to do business with Bell.
As part of our team, you will be at the heart of our customer experiences.
Summary
The Customer Operations team is looking for a Data Scientist who is passionate about solving complex problems with data, building AI‑powered insights, and applying machine learning to elevate customer experience. In this role, you will collaborate with cross‑functional partners across Operations, Business Intelligence, DEAI, Digital, and Marketing to build models, surface insights, and contribute to transformation initiatives across the customer lifecycle.
Key Responsibilities
- Develop, test, and deploy machine‑learning models that support customer‑experience improvement, operational efficiency, segmentation, predictive analytics, and automation in close partnership with operations leadership.
- Transform large and diverse data sources into actionable insights by applying statistical techniques, feature engineering, and model evaluation best practices.
- Build data pipelines, monitoring dashboards, and analytical workflows that enhance model reliability and operational scalability.
- Oversee continuous improvement initiatives by empowering teams to analyze behavioral and usage data, anticipate emerging risks, and design scalable solutions and playbooks for at‑risk segments.
- Strong leadership and communication skills to effectively collaborate with analysts, digital, frontline and support teams to ensure AI models and insights are aligned with cross‑channel experience strategies and enterprise transformation goals.
- Contribute to playbooks, prototypes, and experimentation frameworks that accelerate innovation and drive customer‑centric solution design.
Critical Qualifications
- Bachelor’s degree in computer science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree.
- 1-3 years of experience in a data science or analytics role.
- Cloud foundational certification (For example: AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect).
- Proficiency in SQL and at least one scripting language (Python preferred).
- Experience with deep learning frameworks (For example: TensorFlow, PyTorch, Keras).
- Advanced knowledge of machine‑learning techniques and frameworks (For example: scikit‑learn, TensorFlow), as well as generative AI technologies, including large language models and retrieval‑augmented generation (RAG).
- Ability to write clean, efficient, and reusable code.
- Strong understanding of various data types and formats, including experience with both structured and unstructured data.
- Experience with data visualization tools (For example: Tableau, Power BI).
Additional Requirements
- Bilingual proficiency in French and English is considered an asset.
#EmployeeReferralProgram
Adequate knowledge of French is required for positions in Quebec.
Additional Information:
Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montreal
Work Arrangement: Hybrid
Application Deadline: 04/09/2026
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.
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.
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 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.
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Created: Canada, ON, Mississauga
Bell, one of Canada's Top 100 Employers.