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Ref: RQ11753 Contract – 12 Months (Extension Possible) Onsite – Toronto (222 Jarvis St)
Posted Date: 2026-10-29
Location: Onsite – Toronto (222 Jarvis St)
Public Sector Experience: Required – OPS / Public Sector
Contract End Date: 2027-10-05 *
Rate: $87/hour
Overview
The Government Services Integration Cluster (Ministry of Public and Business Service Delivery and Procurement) is seeking a Senior Data Analytical Specialist/Scientist to join their team in Toronto. The successful consultant will lead the development and delivery of analytics solutions that support evidence-based decision-making, working closely with client groups and cross-functional stakeholders to generate actionable insights from complex datasets. This is a fully onsite role requiring deep expertise in cloud platforms, big data frameworks, and machine learning.
Key Responsibilities
- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
- Collaborate with client groups to assess current data analytics and reporting capabilities, gather future-state requirements, and identify opportunities for improvement
- Own end-to-end execution of analytics initiatives including reporting and dataset delivery
- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
- Design methods to capture, structure, transform, and process data for use in generating predictive models
- Build data models that deliver accurate, easy-to-understand, and unbiased information
- Work with Data Architects, ETL Developers, and functional area experts to understand complex business issues and develop appropriate Business Intelligence solutions
- Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
- Participate in documentation, development, testing, and end-user training activities
- Provide interpretation, advice, and expertise to client groups and stakeholders on transforming analytics into actionable and proactive insights
- Facilitate decision-making and manage client expectations throughout project delivery
Must-Have Requirements
- Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases
- Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels
- 5+ years of experience with cloud environments (Azure, AWS)
- 5+ years of experience with big data frameworks
- Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch)
- Experience with custom Web API development, ASP.NET, .NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD Pipelines
- Proficiency in all cloud service models: SaaS, PaaS, and IaaS
- Experience with Agile methodologies including the use of Kanban/task boards
Nice-to-Have Skills
- Experience with analytical software such as R, PowerPivot, MATLAB, SPSS, or SAS
- Proficiency with desktop analysis software including Microsoft Excel, Access, and VBA
- Experience with large government or public sector applications
- Familiarity with natural language processing (NLP) techniques and related disciplines
- Experience designing high-quality interfaces to present information in a meaningful way to end users
Work Environment
This is a fully onsite position (5 days per week) located at 222 Jarvis St, Toronto. The role requires a Criminal Record and Judicial Matters Check (CRJMC) security clearance. The team follows Agile methodologies, including Kanban-based task management. No travel expenses are covered beyond the primary office location.
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- Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.
