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Data & AI Solution Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
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AI Data Architect
SaskTel
SK · Saskatchewan, Canada
- Contract
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Data Engineer
Hays
Montreal, QC
- Contract
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Machine Learning Engineer
Altis
Toronto, ON
- $65 to $75 CAD / hour
- Contract
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Associate Director, Broadcast Creative Producer
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
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Media Planning Manager
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
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Director, AI, Data & Analytics
City of North Vancouver
North Vancouver, BC
- $156,156 to $181,632 CAD / year
- Full-time
…directly shape how artificial intelligence, enterprise data, analytics, and Geographic Information Systems (GIS) transform municipal service delivery. The Director will develop and…
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Regulatory Capital Compliance Analyst
Mindlance
Toronto, ON
- $55 to $60 CAD / hour
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Gen AI Developer --SINDC6104660
Compunnel Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
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Ontology/Context Specialist
Tek Leaders Inc
Toronto, ON
- Contract
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AI Enablement Specialist
CIMA+
Montreal, QC
- Full-time
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GPU & AI Optimization Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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Post Production Producer
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
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SEM Specialist
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
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Senior Manager, Lifecycle Marketing
Toast
Canada
Work with Product Marketing, Customer Success, Sales, Revenue Operations and Analytics to plan, launch and measure programs.
Added 14 mins ago
Senior Analyst, Commercial QA (12 month contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
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Senior Software Engineer – Android contract
KEV Group
Toronto, ON
Partner with platform and data teams to expose telemetry data for reporting and analytics.
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Business Development Manager
Sysco
Victoria, BC · Sysco Victoria
- Full-time
…acquiring new business through strategic planning, advanced analytics, and effective contract negotiation. This role utilizes Sysco's Salesforce platform, employs a team-selling approach,…
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Program Manager, Carrier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
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Senior AI Platform Engineer
Scotiabank
Toronto, ON
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Senior Manager, AI and Emerging Technology sourcing
Scotiabank
Toronto, ON
Hands-on with spend analytics, supplier segmentation, TCO modelling, and benchmarking .
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Operations Officer I
Robertson & Company Ltd.
Toronto, ON
- Contract
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Internal Audit Manager
Professional Staffing
Toronto, ON · Greater Toronto Area, Canada
- $110,000 to $120,000 CAD / year
- Full-time
Advanced proficiency in Microsoft Excel; experience with data analytics, business intelligence tools, or audit analytics is an asset.
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SI
Senior Product Manager
Spruce InfoTech Inc.
Toronto, ON
- Contract
Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of…
Added 29 mins ago
EB
Senior Analyst, Commercial QA (12 month contract)
EQ Bank
Toronto, ON
- Contract

TekStaff IT Solutions

Data Science Specialist

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.

Must Haves:

Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.
Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.

Public Sector Experience: preferred

Key Responsibilities

Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases.
Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making.
Translate business problems into appropriate analytical and modelling approaches , defining hypotheses, methodologies, and success measures.
Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases.
Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement.
Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results.
Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility.
Develop prototypes and proofs of concept to test analytical approaches before broader implementation.
Work closely with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful models and analytical solutions.
Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.
Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.
Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.

Qualifications & Experience

Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering , or a related quantitative field, or equivalent experience.
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis .
Strong proficiency in Python, SQL , statistical analysis, and machine learning techniques.
Experience developing and validating predictive and machine learning models using real-world enterprise data.
Knowledge of model evaluation, experimentation, feature engineering, data quality, and analytical methodology.
Experience working with modern cloud-based data and analytics environments.
Understanding of Generative AI and emerging AI techniques would be an asset.
Strong business acumen with the ability to connect analytical findings to measurable business outcomes.
Strong communication, problem-solving, and stakeholder-management skills.

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More about this job

Responsibilities

Develop and validate predictive models, advanced analytics, and machine learning solutions, while assessing data readiness and identifying valuable AI opportunities. Collaborate with business and technical teams to operationalize solutions, monitor outcomes, and communicate findings while addressing responsible AI, privacy, and governance considerations.

Requirements

Requires significant experience in data science, advanced analytics, predictive modeling, or machine learning, with strong proficiency in Python, SQL, statistical analysis, and model evaluation. A degree in a quantitative field or equivalent experience is required, along with experience using enterprise data and cloud analytics environments; public sector experience is preferred.

Skills

Statistics
Probability
Predictive Modeling
Machine Learning
Python
SQL
Feature Engineering
Model Validation
Azure Machine Learning
Microsoft Foundry
Databricks
Power BI
Exploratory Data Analysis
Responsible AI
Data Governance
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Advanced Analytics
Predictive Modeling
Machine Learning
Statistics
Probability
Python
SQL
Power BI
Visual Studio Code
Git
Jira
Azure
Azure OpenAI
Microsoft Foundry
Azure Machine Learning
Databricks
Exploratory Data Analysis
Feature Engineering
Model Validation
Model Evaluation
Experimentation
Statistical Inference
Data Quality
Data Maturity Assessment
Responsible AI
Data Governance
Generative AI
Business Value Analysis
Public Sector

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