Client: Ministry of Public and Business Service Delivery and Procurement – RQ11753 We are seeking a highly skilled Senior Data Analytical Specialist/Scientist with extensive experience in data analytics, data science, statistical modelling, machine learning, cloud environments, big data frameworks, and business intelligence solutions. The ideal candidate will have strong proficiency in SQL, data manipulation, predictive modelling, deep learning frameworks, and cloud technologies such as Azure and AWS. The successful candidate will lead the development and delivery of analytics solutions, transform complex datasets into actionable insights, develop predictive algorithms, and support evidence-based decision-making while collaborating with business stakeholders, Data Architects, ETL Developers, and technical teams. Role Snapshot
- Job Title: RQ11753 – Data Analytical Specialist/Scientist – Senior
- Client: Ministry of Public and Business Service Delivery and Procurement
- Work

Location:
222 Jarvis Street, Toronto, Ontario, Canada
- Work Arrangement: Onsite – 5 Days per Week
- Estimated Start Date: October 26, 2026
- Estimated End Date: October 5, 2027
- Business Days: 254.00
- Extension: Probable after the initial mandate
- Hours: 7.25 hours per day
- Security Level: CRJMC Must Have
- 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.
- More than 5 years of experience working with cloud environments, including Azure and AWS.
- More than 5 years of experience working 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, CI/CD pipelines, and related technologies.
- Proficiency in all cloud service models: SaaS, PaaS, and IaaS.
- Experience with Agile methodologies, including the use of Kanban/task boards. Description Responsibilities The Successful Candidate Will Be Responsible For The Following
- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights.
- Work closely with client groups to assess current data analytics and reporting capabilities, gather future-state requirements, and identify further opportunities for improvement.
- Facilitate decision-making and manage client expectations.
- Own the execution of analytics initiatives, including end-to-end reporting and dataset delivery.
- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences.
- Participate in documentation, development, testing, and end-user training.
- Work with functional area experts, Data Architects,



ETL Developers, and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions.
- Design methods to capture, structure, transform, and process data to be used to generate models.
- Build data models that provide information that is accurate, easy to understand, and unbiased.
- Communicate complex quantitative analysis in a transparent and precise manner, providing useful visuals and summaries.
- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision-making. General Skills
- Excellent analytical, problem-solving, and decision-making skills, verbal and written communication skills, interpersonal skills, and teamwork skills.
- Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop and consult on options and solutions, and provide effective guidance.
- Adept at communicating with both technical and non-technical audiences.
- Experience with a range of analytical methods, techniques, and tools, including but not limited to statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level.
- Ability to manipulate and analyse complex, high-volume data from structured and unstructured sources.
- Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores.
- Experience designing high-quality interfaces to present information in a meaningful way to end users.
- Broad understanding of data management, financial and business analysis, database architecture, and information visualization.
- Proficiency in query languages and experience constructing complex query statements.
- Experience in one or more programming or scripting languages.
- Strong investigative and logic skills.
- Proficiency in mathematics and statistics.
- Awareness of emerging Business Intelligence trends and directions.
- Functional area experience as required.
- Experience with analytical software such as R, PowerPivot, MATLAB, SPSS, or SAS is an asset.
- Proficiency with desktop analysis software, including Microsoft Excel, Access, and VBA. Experience And Skill Set Requirements
- Technical Skills – 40%
- Demonstrated technical proficiency in data analytics, data science, statistical modelling, machine learning, and business intelligence solutions.




- Strong coding and data manipulation capabilities, including proficiency in SQL for querying and managing large relational databases.
- Ability to source, clean, transform, and structure complex, messy, or unstructured datasets from multiple channels.
- Experience working with cloud environments, including Microsoft Azure and AWS.
- Experience with big data frameworks and large-scale data processing.
- Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks such as TensorFlow and PyTorch.
- Experience with custom Web API development, ASP.
NET, .
NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD pipelines.
- Proficiency in cloud service models, including SaaS, PaaS, and IaaS.
- Experience with Agile methodologies, including Kanban and task boards.
- Experience with statistical analysis, data mining, machine learning algorithms, natural language processing, and related analytical disciplines.
- Experience developing data extraction, transformation, and load (ETL) functionality for large relational and multi-dimensional data stores.
- Proficiency in query languages and constructing complex query statements.
- Experience with programming or scripting languages.
- Experience with analytical software such as R, PowerPivot, MATLAB, SPSS, or SAS is an asset.
- Proficiency in Microsoft Excel, Access, and VBA.
- Experience – 40%
- Experience working with large government applications.
- Experience with cloud platforms such as Microsoft Azure.
- Communication Skills – 20%
- Strong communication skills to prepare documentation, including but not limited to reports, reviews, and assessments.
- Ability to present ideas and suggestions clearly and effectively in a user-friendly manner.
- Ability to maintain a high level of customer service for both internal and external clients.
- Ability to communicate designs and development in a clear and understandable manner.

How to Apply
If you are interested and

your profile
matches the requirements, kindly send the following mandatory documents to [email protected] by Tuesday, November 3, 2026, at 10:00 AM EST . Mandatory Documents
- Updated Resume in Word format (Mandatory)
- References (Mandatory)
- Expected Hourly Rate (Mandatory)
- Visa Status (Mandatory)
- LinkedIn ID (Mandatory) Without the mandatory documents, we cannot submit a candidate. WhatsApp Group For daily job updates, you can also join our WhatsApp group using the link below: Join our WhatsApp Group Additional Information
- Onsite Requirement: 5 days per week. Email is the best way to reach us. You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

📌 – Data Analytical Specialist/Scientist – Senior (Toronto)
🏢 S M Software Solutions
📍 Toronto