Senior Data Scientist-ML

Bell; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

A leading Canadian telecommunications provider is seeking a highly motivated Senior Data Scientist with a strong foundation in data science principles. The role involves innovative problem-solving within a hybrid work environment. Ideal candidates will have extensive experience in AI/ML and be able to advocate for new ideas and improvements. A competitive compensation package, including a variety of benefits, will be offered.

Benefits

Medical, dental, vision, and mental health benefits

35% discount on services

Exclusive offers from partners

Qualifications

• 5-10 years of relevant work experience in a data science or analytics role.
• Experience in a Cloud environment with GCP preferred.
• Familiarity with various data frameworks.

Responsibilities

• Be a part of the field services team and create solutions.
• Contribute to the end-to-end AI/ML solution.
• Innovate on complicated, undefined problems.

Skills

Data science principles

Problem-solving

AI/ML advocacy

Team collaboration

Customer-centric approach

Education

Bachelor's degree in computer science, Statistics, Mathematics, Data Science, Engineering

Tools

SQL

Python

GCP

scikit-learn

TensorFlow

PyTorch

VertexAI Agent Space

Beam

Dataflow

Job description

Summary

We are seeking a highly motivated and analytical Senior Data Scientist to join our growing team. The ideal candidate will have a strong foundation in data science principles and a passion for leveraging data to drive business decisions. This role offers an excellent opportunity to learn and grow within a dynamic and collaborative environment.

The team’s portfolio focuses on anomaly/fraud detection and field services use cases. We take complicated business problems, dive deep into the data and processes associated with those problems, and create both classification/regression and generative/agentic solutions.

Key Responsibilities

• Be a part of the field services team. Learn deeply about how field services operates, the everyday problems that need solving, and create those solutions.
• Be a contributor to the end to end AI/ML solution. Wrangle the data, create the model, define the parameters of productionization, and continuously improve it.
• Have a strong understanding of AI/ML and be able to advocate for new ideas and changes to the current roadmap. We work closely as a team, so communication is key.
• Be willing to innovate, particularly on complicated, undefined problems. We often are given an outcome, and it is our job to find the way to take the business there.
• Proactive and results-oriented: Embraces challenges with enthusiasm and a positive \\"can-do\\" attitude, consistently exceeding expectations.
• Innovative and solution-focused: Proactively identifies opportunities for improvement and contributes creative solutions to enhance efficiency and effectiveness.
• Customer-centric: Demonstrates a strong understanding of customer needs and leverages this knowledge to deliver exceptional service and build strong relationships.
• Analytical and detail-oriented: Meticulously gathers and analyzes information to effectively identify and resolve complex problems.
• Collaborative team player: Actively contributes to a positive team environment, fostering collaboration and contributing to shared success.
• Growth-minded: Actively seeks opportunities to develop new skills and apply them to enhance job performance and contribute to organizational goals.

Critical Qualifications

• Bachelor\'s degree in computer science, Statistics, Mathematics, Data Science, Engineering or a related field. Relevant experience may be considered in lieu of a degree.
• Approximately 5-10 years of relevant work experience in a data science or analytics role.
• Experience in a Cloud environment. GCP is preferred – but we recognise that cloud skills are transferable.
• Proficiency in SQL and Python.
• Familiarity with various data frameworks, especially Beam and Dataflow.
• Experience with popular machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with a major Generative AI platform such as VertexAI Agent Space.

Preferred Qualifications

• Experience in the telecommunications industry or applying technical problems to operational/supply chain problems.

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 : Brampton || Canada : Ontario : Mississauga

Work Arrangement: Hybrid

Application Deadline: 10/13/2025

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 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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