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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.

• 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 BigQuery
• Develop and deploy agentic AI systems that autonomously reason, plan, and act across complex health data environments
• Create compelling, interactive dashboards and visualizations using Tableau, Looker, and Power BI to communicate insights to clinical and business stakeholders
• Conduct rigorous mathematical modelling to support predictive analytics, risk stratification, and population health management
• Develop and present ROI calculations and business impact analyses to quantify the value of data science initiatives and health interventions
• Experience communicating complex mathematical analyses and models to a lay audience in a business setting
• Partner with clinical, product, and engineering teams to define data science requirements and translate business problems into analytical solutions
• Ensure data quality, governance, and privacy compliance in alignment with PIPEDA, PHIPA, GDPR, and other applicable health data regulations
• Mentor junior data scientists and contribute to a culture of analytical excellence and continuous learning
• Stay current with emerging trends in health AI, generative AI, and data science methodologies

What you bring

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Epidemiology, or a related quantitative field
• 3-6+ years of hands-on experience in data science, machine learning, or advanced analytics roles
• Demonstrated experience working with health and wellbeing data (e.g., EHR, claims, biometric, mental health, or wellness program data)
• Proficiency in Google Cloud Platform (GCP) services, particularly BigQuery, Vertex AI, Cloud Storage, and Dataflow
• Strong experience building dashboards and reports in Tableau, Looker, and/or Power BI
• Proven experience in developing agentic AI systems, including multi-agent architectures, LLM orchestration, and tool-use frameworks (e.g., LangChain, AutoGen, CrewAI)
• Strong foundation in mathematical modelling, including statistical inference, optimization, simulation, and predictive modelling techniques
• Experience conducting ROI analyses and translating analytical findings into business value narratives for executive audiences
• Proficiency in Python and/or R, with experience in libraries such as scikit-learn, or similar
• Solid understanding of data privacy, security, and compliance requirements in healthcare contexts

Technical Skills & Tools

• Google Cloud Platform
• BigQuery
• Tableau
• Looker / LookML
• Power BI
• Agentic AI / LLMs
• Python / R
• Mathematical Modelling
• ROI Analysis
• Health Data (EHR/Claims)
• Machine Learning
• Statistical Inference
• LangChain / AutoGen
• Vertex AI
• SQL / dbt
• Data Governance

• PhD in a quantitative discipline with a focus on health informatics, biostatistics, or computational biology
• Experience with natural language processing (NLP) applied to clinical notes or health records
• Knowledge of population health modelling, risk stratification, or actuarial modelling
• Experience with MLOps practices, including model monitoring, versioning, and CI/CD pipelines
• Published research or contributions to open-source health data science projects
• Bilingual proficiency in English and French is an asset

Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its national scope.