Client: Supply Ontario

Work Location: 525 University Avenue, Toronto, Ontario, Canada

Job Type: Hybrid – 3 Days Onsite at Manager’s Discretion

Estimated Start Date: September 14, 2026

Estimated End Date: March 31, 2027

Business Days: 166

Potential Extension: Up to 253 additional days

Hours: 7.25 hours per day, 5 days per week

Application Deadline: Wednesday, August 26, 2026 at 11:00 AM EST

Security Clearance: Not Specified

Role Snapshot

Supply Ontario is seeking a Senior Data Science Developer to provide technical analytics support for the Agency’s Mental Health &

- Addiction (MHA) program, with a primary focus on the Provincial Data Set (PDS) 2.0 and other clinical analytics priorities.

The successful candidate will develop and maintain data pipelines, analytics products, cloud-based data models, dashboards, and reports supporting critical health data and ministry-related commitments.

The ideal candidate will have strong hands-on experience with SQL, Python, Azure, and Power BI, along with experience working with large-scale health system and administrative databases, data linkage, analytic cohort development, and health-sector analytics.

Health Data Experience And Public-sector/government Experience Are Required.

Key Responsibilities

- Data Analytics &
- Development
- Analyze business and technical requirements and translate them into effective data and analytics solutions.
- Design, develop, code, test, and maintain analytical reports and products.
- Develop technical scripts using health system and administrative databases.
- Link datasets and build analytical cohorts to support clinical and reporting requirements.
- Analyze complex technical issues and identify appropriate alternatives and solutions.
- Develop technical scripts aligned with Mental Health &
- Addiction clinical priorities.
- Support the advancement of data, reporting, and ministry-related commitments.
- Data Pipelines &
- Cloud Analytics
- Develop and maintain data pipelines supporting Provincial Data Set (PDS) 2.0 and MHA clinical reporting priorities.
- Design, create, and maintain cloud-based data analytics models.
- Develop scalable analytics products using Azure cloud technologies.
- Ensure data pipelines and models support reliable, accurate, and timely reporting.
- Perform data validation and support data quality activities.
- Power BI Dashboards &
- Reporting
- Design, develop, and maintain Power BI dashboards and reports.
- Create visualizations aligned with PDS 2.0 and Mental Health &
- Addiction priorities.
- Translate complex health data into meaningful analytical insights and visual products.
- Support clinical and business stakeholders in effectively using cloud-based data and analytics products.
- Review and enhance existing reporting solutions based on stakeholder requirements.
- Health Data &
- Clinical Analytics




- Work with large health system and administrative databases.
- Perform health data linkage and develop analytical cohorts.
- Apply knowledge of health data to support clinical reporting and analytics initiatives.
- Collaborate with clinical partners and project teams to ensure analytics products meet business and clinical requirements.
- Support analytics initiatives related to Mental Health &
- Addiction data and clinical concepts.
- Stakeholder Collaboration &
- Knowledge Transfer
- Liaise with project members, clinical partners, technical teams, and other stakeholders.
- Participate in product reviews and resolve operational and technical issues.
- Explain technical approaches, alternatives, advantages, and disadvantages to stakeholders.
- Conduct knowledge transfer sessions for technical staff.
- Develop comprehensive technical documentation covering the architecture, design, development, and implementation of end-to-end data and analytics products.
- Develop guidelines, best practices, and supporting documentation.
- Data Governance, Privacy &
- Quality
- Support data quality, validation, and governance requirements.
- Ensure analytics solutions align with applicable health data privacy and governance requirements.
- Apply awareness of PHIPA and related health information protection considerations.
- Support accurate, secure, and reliable handling of health data.
- Ensure technical deliverables align with Agency policies and standards.

Required Skills &

- Experience

Skill / Experience Requirement Health data background Required Public-sector / government experience Required Large health system and administrative databases Required Dataset linkage and analytic cohort development Required SQL Required Python Required Azure Required Power BI Required Data pipeline development Required Cloud-based analytics models Required Data visualization and reporting Required Technical analysis and problem solving Required Technical documentation and knowledge transfer Required Written and verbal communication Required

Technology Stack

- SQL
- Python
- Microsoft Azure
- Power BI

Desired Skills

- Experience with health data linkage.
- Familiarity with Mental Health &
- Addiction data and clinical concepts.
- Understanding of PHIPA and health data privacy/governance requirements.
- Experience working within product-team delivery environments.
- Experience supporting clinical reporting and health analytics initiatives.




- Experience developing cloud-based analytics products in public-sector or healthcare environments.

Key Deliverables The Senior Data Science Developer will be responsible for delivering:
- Power BI dashboards and reports aligned with PDS 2.0 and Mental Health &
- Addiction priorities.
- Cloud-based data models and data pipelines.
- SQL and Python scripts and technical code.
- Technical documentation for data and analytics products.
- Data quality and validation outputs.
- Analytical cohorts and linked datasets supporting reporting requirements.
- Technical guidelines, best practices, and knowledge-transfer materials.
- Analytics solutions supporting clinical and ministry reporting priorities.

Ideal Candidate Profile The ideal candidate is a Senior Data Science Developer / Data Analytics Specialist with solid experience in health data, public-sector environments, SQL, Python, Azure, and Power BI. Candidates should have hands-on experience working with large health system and administrative databases, including dataset linkage, analytical cohort development, cloud-based data models, data pipelines, and clinical reporting.

Experience with Mental Health &

- Addiction data, PHIPA, health data governance, and product-based delivery environments will be highly valuable.

Engagement &
- Work Arrangement
- The initial engagement is for 166 business days, with an option to extend for up to 253 additional business days at the Agency’s discretion.
- The resource must comply with all Agency policies and procedures.
- An Agency laptop will be provided.
- The resource must provide at least one additional monitor, external keyboard, and mouse at their own expense.
- For remote work, the resource must have a private office space and cannot work from an open communal area.
- A hard-wired internet connection with suitable bandwidth is required.
- If the required home-office conditions cannot be met, the resource may be required to work full-time onsite.
- Agency systems cannot be accessed from outside Ontario without prior written approval.
- Agency laptops and related equipment cannot be removed from Ontario without prior written approval.
- Assignment Type: Hybrid
- Expected onsite schedule: 3 days per week at the manager’s discretion.

How to Apply If this opportunity matches your experience and availability, please submit the following documents by Wednesday, August 26, 2026 at 11:00 AM EST:

- Updated Resume in Word format –
- Mandatory
- Skills Matrix and References –
- Mandatory
- Expected Hourly Rate –
- Mandatory
- Visa Status –
- Mandatory
- LinkedIn ID –
- Mandatory

Submission Email: [email protected] Important: Without the mandatory documents, we cannot submit a candidate.

For daily job updates and new opportunities, candidates may also join the company’s WhatsApp group using the provided invitation link.

📌 – Data Science Developer – Senior (Toronto)
🏢 S M Software Solutions
📍 Toronto