Machine Learning Engineer, Marketing

Req :  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 #Team Bell.

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/Dev Ops 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. Tensor Flow, 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

Final date to receive applications:  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.…