Senior Data Scientist II

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.

On the Bell Business Markets team, you’ll be a vital part of making innovation happen for enterprise-scale customers. You’ll deliver advanced solutions in areas such as IoT, Mobility/5G, Cloud, Cyber Security, Voice, Collaboration & Contact Centre and Internet & Private Networks.

At Bell, your skills and expertise will help set us apart as we continue to be the leading provider of digital connections and next generation services to businesses and governments.

Summary

We are seeking a highly accomplished and experienced Senior Data Scientist II to lead the technical development and implementation of complex machine learning (ML) solutions. This individual will be a key contributor, driving innovation and shaping the future of our data science initiatives. The ideal candidate will possess exceptional technical skills, strong leadership abilities, and a deep understanding of business operations. 

Key Responsibilities

• Lead the entire lifecycle of data science projects, from initial conception and design to deployment and maintenance in production environments. 
• Develop and implement advanced ML architectures for complex models, ensuring scalability, performance, and robustness. 
• Collaborate with business stakeholders to gain a thorough understanding of operational processes, identify key challenges, and translate business needs into data-driven solutions. 
• Guide and direct interaction with product teams to influence product design, ensuring alignment between business objectives and technical feasibility. 
• Employ a production-first approach, conducting thorough feasibility studies and prototyping to evaluate project viability, considering performance, time, quality, and cost. 
• Introduce and champion innovative ML techniques, processes, and products within the organization. 
• Mentor and guide junior and senior data scientists, fostering a collaborative and high-performing team environment. 
• Proactively identify and address potential challenges and risks throughout the project lifecycle. 
• Stay abreast of the latest advancements in the field of machine learning and proactively identify opportunities for innovation and improvement. 
• Contribute to the development and refinement of data science best practices and methodologies. 

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. 
• 8+ years of experience in a data science or analytics role, with a significant portion dedicated to leading complex projects. 
• Advanced cloud certification (e.g., AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer – specify preferred certifications). 
• Advanced knowledge of ML models: NLP, Gen AI and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks). 
• Demonstrated ability to design and implement complex ML architectures. 
• Advanced understanding of business operations, needs, and pain points, with the ability to translate business requirements into technical specifications. 
• Exceptional proficiency in developing, training, and deploying ML models in production environments. 
• Proficiency in at least one scripting language (Python preferred). 
• Strong experience with data visualization tools (e.g., Tableau, Power BI). 
• Excellent communication, leadership, and interpersonal skills. 
• Proven ability to lead and motivate teams to achieve ambitious goals. 
• Demonstrated ability to manage multiple projects simultaneously and meet deadlines. 
• Strong problem-solving skills and a proactive approach to identifying and resolving challenges. 

Preferred Qualifications

• Master's degree or PhD in a relevant field. 
• Experience with specific industry-relevant datasets or technologies. 
• Publication record in data science or related fields. 
• Contributions to open-source projects or personal data science projects (portfolio encouraged). 
• Experience with Servicenow

Adequate knowledge of French is required for positions in Quebec. 

Additional Information:

Position Type: Management

Job Status:  Regular - Full Time

Job Location: Canada : Quebec : Montreal || Canada : Ontario : Ottawa || Canada : Ontario : Toronto
Work Arrangement: Hybrid
Application Deadline: 07/12/2026

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  View email address on jobs.bce.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.