Data Analytical Specialist/Scientist

Lotus IT Solutions; Toronto; On-site; CAD 99,000 - 141,000; Full time

Job summary

The Government Services Integration Cluster in Toronto is seeking a Senior Data Analytical Specialist/Scientist to lead analytics initiatives that drive evidence-based decisions. This fully onsite role requires deep expertise in cloud platforms, big data, and ML to deliver actionable insights from complex datasets.

Responsibilities include end-to-end analytics delivery, developing predictive models, and collaborating with stakeholders to translate analytics into proactive recommendations.

Qualifications

• Proficiency in coding and data manipulation with SQL for querying 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 and ML models (TensorFlow/PyTorch).
• Experience with Web API development, ASP.NET/.NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD.
• Proficiency in cloud service models (SaaS, PaaS, IaaS).
• Experience with Agile methodologies including Kanban.

Responsibilities

• Lead the development and delivery of analytics to support decision-making and generate actionable insights.
• Collaborate with client groups to assess data analytics and reporting requirements.
• Own end-to-end execution of analytics initiatives including reporting and dataset delivery.
• Develop robust statistical models and ML algorithms to model business scenarios.
• Design data capture, structuring and processing methods for predictive modeling.
• Build data models delivering accurate and unbiased information.
• Work with Data Architects, ETL Developers, and BI specialists to craft solutions.
• Communicate complex quantitative analyses with visuals and summaries.
• Contribute to documentation, testing and end-user training.
• Provide interpretation and advisory on transforming analytics into insights.

Skills

SQL

Azure

AWS

Big data frameworks

TensorFlow / PyTorch

Web API development

ASP.NET / .NET Core

Entity Framework

DevOps / CI/CD

Agile / Kanban

Tools

Azure SQL

Docker

Kubernetes

CI/CD pipelines

DevOps tooling

Job description

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.