Req Id: 431078 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. <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Summary</H2> </div><div>We are seeking a highly skilled and experienced Data Scientist II to join our team. The ideal candidate will possess a strong understanding of data science principles, advanced technical skills, and the ability to independently lead complex projects. This role requires a proven track record of success in developing and implementing innovative data-driven solutions. </div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Key Responsibilities</H2> </div><div><ul> <li>Collaborate with business stakeholders to define data science objectives and translate them into actionable strategies. </li> <li>Design, develop, and implement advanced predictive models and machine learning algorithms, including deep learning models, to solve complex business problems. </li> <li>Analyze large and diverse datasets (structured and unstructured) to uncover hidden trends, patterns, and insights. </li> <li>Implement robust data quality control measures and ensure data integrity throughout the entire data lifecycle. </li> <li>Develop and maintain efficient data collection and preprocessing pipelines, including automation of data ingestion processes. </li> <li>Create insightful data visualizations and presentations to effectively communicate findings and recommendations to both technical and non-technical audiences. </li> <li>Propose innovative and data-driven solutions to address challenging business issues. </li> <li>Refactor and optimize existing models, conduct rigorous testing, and monitor model performance. </li> <li>Identify and evaluate new data sources to enhance the value and scope of data-driven insights. </li> <li>Mentor and guide junior data scientists, fostering a collaborative and supportive team environment. </li> <li>Contribute to the continuous improvement of data science methodologies and best practices within the organization. </li> </ul> </div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Critical Qualifications</H2> </div><div><ul> <li>Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Relevant experience may be considered in lieu of a degree. </li> <li>3+ years of experience in a data science or analytics role. </li> <li>Cloud foundational certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect). Specify preferred certifications if applicable. </li> <li>Advanced proficiency in SQL and at least one scripting language (Python preferred). </li> <li>Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras – specify preferred frameworks). </li> <li>Demonstrated expertise in a wide range of machine learning algorithms and techniques. </li> <li>Ability to write clean, efficient, and reusable code. </li> <li>Strong understanding of various data types and formats, including experience with both structured and unstructured data. </li> <li>Experience with data visualization tools (e.g., Tableau, Power BI). </li> </ul> </div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Preferred Qualifications</H2> </div><div><ul> <li>Master's degree or PhD in a relevant field. </li> <li>Experience with specific industry-relevant datasets or technologies. </li> <li>Publication record in data science or related fields. </li> <li>Contributions to open-source projects or personal data science projects (portfolio encouraged). </li> <li> <div>Experience working with enterprise platforms such as ServiceNow or similar IT service management (ITSM) tools.</div> </li> </ul></div></div></div> 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 : Mississauga || 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 <a style="color:#0563c1;text-decoration:underline" href="mailto:[email protected]">[email protected]</a> to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the <a title="" href="https://www.bce.ca/Accessibility_services/Accessibility_Feedback?brand=bce" target="_blank" rel="noopener">Accessibility feedback form</a> or visit our <a title="" href="https://www.bce.ca/Accessibility_services" target="_blank" rel="noopener">Accessibility page</a> for other ways to contact us. Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (<a style="color:#0563c1;text-decoration:underline" href="https://www.phenom.com/talent-acquisition">see Phenom for details</a>) to learn more about how we collect, use, and disclose your personal information. Created: Canada, QC, Montreal Bell, one of <a href="https://reviews.canadastop100.com/top-employer-bell?lang=en" target="_blank" rel="noopener">Canada's Top 100 Employers.</a>

Data Scientist II (Montreal, QC, CA) @ Bell

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