Machine Learning Engineer, Marketing

Bell; Toronto; Hybrid; CAD 95,000 - 135,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Mental health benefits

35% discount on Bell services

Flexible work hours

Job summary

Bell is seeking a Machine Learning Engineer, Marketing to analyze and optimize marketing activities using data-driven insights. You will support models for marketing mix, customer acquisition/retention, lifetime value, and related analyses across multiple marketing projects.

Responsibilities include building and maintaining predictive models, running experiments, and communicating results to diverse teams. Hybrid work and comprehensive benefits are provided.

Qualifications

• Bachelor's degree in a quantitative field (eg. Computer Science, Math, Statistics, Engineering).
• 3+ years applying Data Science, ML, and advanced statistical modeling to marketing analytics, customer acquisition/retention, segmentation, or campaign optimization.
• Strong experience in data science, ML, research, and data pipeline development.
• Proficient in Python, SQL, and R.
• Proficient with data visualization packages and BI tools.
• Experience with LLMs in production environments.
• Experience developing data warehousing and data lake products.
• Experience with large marketing/behavioural data sets.
• Experience in secure cloud environments (GCP, AWS, Azure).
• Experience with constrained optimization and Bayesian/frequentist statistics.
• Experience with TensorFlow, Keras, scikit-learn, and pandas.
• Knowledge of agile project management workflows.

Responsibilities

• Develop and maintain mathematical models to guide marketing strategy.
• Train predictive models for customer acquisition and retention.
• Conduct experiments to support marketing insights hub.
• Analyze and present findings to cross-functional teams.
• Collaborate with brand, marketing, and technical teams to translate needs into solutions.
• Participate in pilot programs for applied AI/ML advancements.
• Support MLOps/DevOps for production environments and automation.
• Document work and present concepts to technical and non-technical audiences.
• Participate in knowledge-transfer to enable business continuity.

Skills

Python

SQL

R

Data visualization

LLMs in production

Data management

Pandas

TensorFlow/Keras/scikit-learn

Agile

Bayesian/Frequentist statistics

Education

Bachelor's degree in a quantitative field

Tools

GCP

AWS

Azure

Data warehouse / Data lake

BI tools

TensorFlow

Keras

scikit-learn

Job description

Req Id: 431373

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.

Summary

We are looking for a Machine Learning Engineer, Marketing to join our team. In this role, you will be responsible for leveraging sales, marketing, and behavioral data to analyze and optimize marketing activities. This position will support a portfolio of marketing projects including marketing mix modelling, causal impact analysis, predictive modeling for customer acquisition and retention, lifetime value analysis, and more.

Key Responsibilities

• Develop and maintain mathematical models to guide strategic business planning and marketing
• Develop and maintain continuous training predictive models for customer acquisition/retention
• Conduct statistical experiments to support a knowledge hub for strategic marketing insights
• Analyze, interpret, and present findings and recommendations to cross‑functional business teams
• Collaborate with brand, marketing, and technical teams to translate business needs into solutions
• Participate in pilot programs to stay ahead of the curve in applied AI/ML advancements
• Support MLOps/DevOps for production model environments and process/test automation
• Clearly document your work and present concepts to both technical and non‑technical audiences
• Participate in knowledge‑transfer and cross‑training to facilitate business continuity and resilience

Critical Qualifications

• Bachelor's degree in a quantitative field (eg. Computer Science, Math, Statistics, Engineering)
• 3 + years of experience applying Data Science, Machine Learning, and advanced statistical modeling techniques to marketing analytics, customer acquisition, customer retention, customer segmentation, marketing measurement, or campaign optimization initiative
• Strong experience in data science, machine learning, research, and data pipeline development
• Proficient in data management and analytical programming languages (Python, SQL, R)
• Proficient using common data visualization packages and business intelligence tools
• Proficient using LLMs to judiciously expedite and automate tasks in a production environment
• Experience developing and maintaining data warehousing and data lake products
• Experience working with large marketing, media, behavioural, or cognitive data sets
• Experience working in secure corporate cloud environments (eg. GCP, AWS, Azure)
• Experience with constrained optimization models and statistical simulation methods
• Experience in applying both Bayesian and frequentist statistical concepts to large data sets
• Experience with analytical Python libraries (eg. TensorFlow, Keras, scikit‑learn, pandas)
• Knowledge of agile project management philosophies and workflows

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 : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 10/01/2026

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.

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.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.