Scientifique principal des données I

BCE Inc.; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

35% discount on Bell services

Hybrid work arrangement

Job summary

Bell is seeking a seasoned Data Scientist / ML Engineer to design, build, and operationalize ML models that boost the reliability and efficiency of Bell’s network. You’ll work with stakeholders across Canada to translate data into business strategy.

The role requires 5+ years in data science, deep GCP expertise (Vertex AI, BigQuery ML, Looker), strong Python/SQL, and a collaborative agile mindset. Hybrid work in Canada with guidance to leaders.

Qualifications

• A seasoned practitioner with 5+ years of dedicated Data Science experience, backed by a degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
• Strong proficiency in Python , SQL, and hands-on experience with machine learning libraries.
• The Agile Mindset: thrives in a fast-paced, collaborative environment and values delivering high-quality business outcomes as a team.
• A strategic, proactive thinker who communicates complex analytical concepts clearly, experiments fearlessly, and elevates the team.
• Maintaining professional relationships with French & English speaking stakeholders across Canada is critical.

Responsibilities

• Develop and Deploy ML Models: Design, build, and operationalize machine learning models that directly impact the reliability and efficiency of Bell’s network.
• Translate Data into Business Strategy: Work with stakeholders to understand their challenges and provide actionable insights that shape network strategy and investment.
• Mentor and Lead: Guide junior data scientists, establish best practices for modeling and analysis, and foster a culture of data-driven curiosity.
• Uncover Insights from Complex Datasets: Dive deep into high-dimensional network telemetry to solve ambiguous problems and discover new opportunities for optimization.
• Drive Real Impact: See your work directly improve the experience of millions of Canadians by making the country’s largest telecommunications network smarter and more reliable.

Skills

Data Science

Python

SQL

Machine Learning

Leadership

French-English communication

Education

Statistics/Mathematics/CS degree

Tools

Google Cloud Platform

Vertex AI

BigQuery ML

Looker

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.

Be at the forefront of shaping the best digital connections and next-generation technology in Canada. You’ll join the largest, award-winning, high-tech team in our country, working with the brightest minds across many industries.

Bring your ideas and skills as we grow cutting-edge fibre and 5G networks, develop advanced products and services to run on these networks and then enable the delivery of content from our top media properties and services – ensuring that our customers can stay entertained and connected anytime, anywhere.

Summary

If you love...

• Predictive Modeling & Machine Learning: Building and deploying sophisticated models to forecast network demand, predict failures, and optimize performance.
• Advanced Analytics & Statistical Modeling: Applying rigorous statistical methods to uncover hidden patterns and insights from vast, complex datasets.
• Data Storytelling & Visualization: Transforming complex analytical results into compelling narratives and clear visualizations that drive business decisions.
• Solving Business Problems with Data: Starting with a business challenge and leveraging data-driven approaches to formulate, test, and deploy a solution.
• Google Cloud Platform (GCP): Utilizing cutting-edge GCP services like Vertex AI, BigQuery ML, and Looker to build and scale powerful analytical solutions.

Key Responsibilities

• Develop and Deploy ML Models: Design, build, and operationalize machine learning models that directly impact the reliability and efficiency of Bell’s network.
• Translate Data into Business Strategy: Work with stakeholders to understand their challenges and provide actionable insights that shape network strategy and investment.
• Mentor and Lead: Guide junior data scientists, establish best practices for modeling and analysis, and foster a culture of data-driven curiosity.
• Uncover Insights from Complex Datasets: Dive deep into high-dimensional network telemetry to solve ambiguous problems and discover new opportunities for optimization.
• Drive Real Impact: See your work directly improve the experience of millions of Canadians by making the country’s largest telecommunications network smarter and more reliable.

Critical Qualifications

• The Experience: A seasoned practitioner with 5+ years of dedicated Data Science experience, backed by a degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
• The Tech Stack: Strong proficiency in Python , SQL, and hands-on experience with machine learning libraries.
• The Agile Mindset: Someone who thrives in a fast-paced, collaborative agile environment and values delivering high-quality business outcomes as a team.
• The Leadership Attitude: A strategic, proactive thinker who communicates complex analytical concepts clearly, experiments fearlessly, and always seeks to elevate the team.
• The Communication: Maintaining professional relationships with French & English speaking stakeholders across Canada is critical to this position.
  

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.

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.