Apply on Kit Job: kitjob.ca/job/2g8ml3

Join Our Team And What We'll Accomplish Together The AI Accelerator team is on a continuous journey towards helping TELUS become a world‑class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high‑quality data, and a data‑product‑oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology‑driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you! You’ll be a part of the team and journey that will transform the way we do business across various domains.

What You'll Do

Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability

Drive the development and deployment of Generative AI applications, tools, and frameworks that solve critical business challenges

Collaborate on end-to-end automation efforts required to bring machine learning models to production, ensuring smooth deployment and operationalization

Work with both structured and unstructured data to design, develop, and deploy creative predictive models, metrics, and dashboards that deliver actionable insights





Visualize and report findings creatively through various formats (e.g., dashboards, interactive reports) to ensure insights are easily understood and actionable for stakeholders at all levels

Influence strategic decision‑making and drive the adoption of a data‑driven mindset across the organization by solving business challenges and uncovering new opportunities

Develop re‑usable code and solutions to accelerate future goals and deliver results faster and more reliably

Support the evolution of Data science and AI products by influencing product roadmap through prioritizing features to meet business needs, recommending latest industry research, tools and best practices

Build and maintain strong engagement with key stakeholders, understanding their business needs and priorities, and presenting AI/ML initiatives to VP‑level executives and beyond

Serve as a functional leader of AI/ML across the company, providing technical leadership for the overall AI/ML program and collaborating with broader business units to scale AI/ML solutions

Establish best practices for ML model deployment and production, ensuring models are scalable, reliable, and optimized for long‑term success

Represent the company as a thought leader in the AI/ML space, presenting at conferences, publishing papers, and engaging with external forums to build TELUS's reputation as a global leader in data science and AI

Coach and mentor a growing team of data scientists and engineers,



fostering a culture of continuous learning and innovation, and identifying future leaders within the organization

What You Bring

Minimum 10 years of hands‑on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows

Strong expertise in Python and experience with data science libraries (e.g., Scikit‑learn, Pandas, Numpy)

Solid background in machine learning algorithms, including regression, classification, clustering, time series analysis, Reinforcement learning and optimization

Experience building and deploying GenAI applications and workflows

Proficiency in SQL and distributed computing

Hands‑on experience with cloud platforms such as GCP, AWS, or Azure

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras

Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Understanding of version control systems (e.g., Git) for collaborative development

Ability to communicate complex technical concepts to non‑technical audiences effectively

A fast‑moving, agile approach to removing roadblocks and delivering results quickly

Great‑to‑haves

Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering or Data Science

Experience with agile methodology and work in a start‑up environment

GCP or other cloud certifications

10+ years of experience in Data Science; at least 5 years of experience in independently leading projects/modeling; at least 2 years leading a major functional area

Knowledge of change management practice to advance the adoption of technology solutions in the business workflow

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Apply on Kit Job: kitjob.ca/job/2g8ml3

📌 Principal AI/ML Scientist (Toronto)
🏢 Telus
📍 Toronto