Data Analytical Specialist/Scientist
- Toronto, ON, Canada
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Original job description
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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
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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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
- 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
- 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
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.
More about this job
Responsibilities
Lead end-to-end analytics initiatives, developing statistical and machine learning models and delivering datasets, reports, and business intelligence solutions to support evidence-based decisions. Collaborate with clients and technical teams to identify analytics needs, communicate findings clearly, and guide stakeholders in turning insights into action.
Requirements
Requires 5+ years of experience with cloud environments and big data frameworks, along with strong SQL and data preparation skills. Candidates must have experience training, testing, and deploying predictive and deep learning models, and working with web APIs, .NET technologies, Azure SQL, DevOps, CI/CD, and Agile methods.
Skills
- SQL
- Data Manipulation
- Data Cleaning And Transformation
- Cloud Platforms
- Azure
- AWS
- Big Data Frameworks
- Machine Learning
- Predictive Modeling
- Deep Learning
- TensorFlow
- PyTorch
- ASP.NET And .NET Core
- Web API Development
- Azure SQL
- Agile And Kanban
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Government & Public Sector
- Science & Research
Keywords
- Data Analytics
- Business Intelligence
- SQL
- Relational Databases
- Azure
- AWS
- Cloud Computing
- SaaS
- PaaS
- IaaS
- Big Data
- Machine Learning
- Predictive Algorithms
- Classification Models
- Deep Learning
- TensorFlow
- PyTorch
- Web API Development
- ASP.NET
- .NET Core
- Entity Framework
- Azure SQL
- DevOps
- CI/CD Pipelines
- Agile
- Kanban
- Natural Language Processing
- R
- SAS
- Public Sector