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

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

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills

Data Scientist – Analytics & AI

Key skills