Data Scientist - Analytics & AI (TELUS Health)

Company: Telus

Location: Toronto, ON

Type: Full-time

Posted: 2026-05-20

About this role

Location:
Toronto, ON, CA Montréal, QC, CA, H3B 1S6 Ottawa, ON, CA Vancouver, BC, CA Halifax, NS, CA Edmonton, AB, CA Calgary, AB, CA

Req ID: 54477

Jobs by Category: Operations

Job Function: Health Solutions

Status: Full Time

Schedule: Regular

## Description

TELUS Health is seeking a highly skilled and passionate Data Scientist to join our growing Analytics & AI team. In this role, you will harness the power of health and wellbeing data to drive meaningful insights, develop intelligent AI-driven solutions, and deliver measurable business value across our suite of health products and services.

You will collaborate closely with clinical experts, product teams, and business stakeholders to transform complex health data into actionable intelligence — ultimately improving the health outcomes of millions of Canadians and global customers.

Our team and what we’ll accomplish together

Join a team at the forefront of digital health innovation, where your work directly contributes to improving people's lives through technology and data-driven insights.

TELUS Health is a leading digital health company and a division of TELUS, one of Canada's largest telecommunications and technology companies. We are dedicated to leveraging the power of technology to revolutionize health and wellness for individuals, employers, and healthcare providers.

Our solutions span employee wellness programs, pharmacy management, electronic health records, virtual care, and mental health services — all powered by cutting-edge data science and AI. We serve millions of customers across Canada and internationally, making us one of the most impactful health technology organizations in the world.

## What you’ll do

  • Design, develop, and deploy advanced machine learning and statistical models using health and wellbeing datasets to generate actionable insights
  • Build and maintain scalable data pipelines and analytical workflows on Google Cloud Platform (GCP) and Bi...

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