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Added 4 mins ago
TF
Validation Engineering Specialist II
Thermo Fisher Scientific
Whitby, ON
- Full-time
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Underwriting Manager, Middle Market Package
AXA
Toronto, ON
- Full-time
You will report to the Head of Middle Market Data Analytics and Product.
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Senior Applied Machine Learning Scientist
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
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AI Engineer
Eclipse Automation
Cambridge, ON
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Senior Analyst, Business Analysis and Insights
Walmart
Mississauga, ON
- Full-time
The Senior Analyst, Business Analysis and Insights will manage the interpretation, analytics reporting, and analysis for key insights and performance recommendations. The role may involve…
Added 4 mins ago
AG
Media Associate, Investment
Adelphi Group
Toronto, ON
- Full-time
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INVESTIGATIVE ANALYST (CONTRACT)
Green Shield Canada
Calgary, AB · Toronto, ON · Windsor, ON
Produce executive-level reporting and analytics that translate complex investigative findings, emerging risks, and fraud trends into actionable business insights and strategic…
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C&
Senior Financial Analyst – Sales
Church & Dwight Co., Inc.
Mississauga, ON
- Full-time
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Java Developer or Python Developer with Data Lineage and meta data
I8IS - Infiniti Software Solutions
Mississauga, ON
- Full-time
Java Developer or Python Developer with Data Lineage and meta data
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LH
Business Analyst
LGI Healthcare Solutions
Montreal, QC
- Full-time
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Oracle HCM Technical Developer (Integrations & VBS Customizations
Raas Infotek
Mississauga, ON
- Contract
Job Role: Oracle HCM Technical Developer (Integrations & VBS Customizations)/
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AI
Oracle EPM Developer
Apptoza Inc.
Toronto, ON
- Contract
Seeking an experienced Oracle EPM Developer with strong expertise in EPBCS/PBCS, Groovy scripting, Calculation Manager, and EPM Automate. Must have hands-on experience in end-to-end…
Added 4 mins ago
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Bilingual QA Analyst
Miipe Quality Solutions
Markham, ON
- $60,000 to $63,000 CAD / year
- Full-time
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Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
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DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
a. Using Azure Monitor, Log Analytics, and Application Insights for performance monitoring and optimization.
Added 4 mins ago
TM
Cost Accountant
The Mason Group - Strategic Search Partners
Mississauga, ON
- $90,000 to $115,000 CAD / year
- Full-time
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Payments BSA
HRbrain Inc.
Toronto, ON
- Full-time
Bachelor’s degree in Business, Information Systems, business analytics, or a related field.
Added 19 mins ago
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Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
Utilize strong technical skills in Oracle PL/SQL, MS SQL Server, Linux, and data analytics/reporting tools to support solution delivery and issue resolution.
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Customer Success Technical Coordinator - Bilingual (FR/EN)
Numeris
Canada
- Full-time
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Senior Consultant, Fusion Services (12- month contract)
CIBC
Toronto, ON
- Full-time
…intelligence sources/tools, incident response platforms, and data/analytics environments. Provide clear, concise direction to associated technology…
Added 19 mins ago
CT
Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
…Personalization, marketing, merchandising, dealer and broader customer analytics use…
Added 19 mins ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
…Personalization, marketing, merchandising, dealer and broader customer analytics use…
Added 19 mins ago
AC
Full-time Institutional Research Advanced Data Analyst
Algonquin College
Ottawa, ON
- Full-time
Reporting to the Manager, Institutional Analytics and Planning, the IR Advanced Data Analyst develops predictive models, forecasts and advanced analytical tools to support strategic,…
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Category Manager (National Grocery) - Mars Food & Nutrition
Mars
Bolton, ON · BOL-Mars Canada Inc.
- Full-time
…recommendations rooted in shopper behavior and advanced data…
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Business Analyst (Distribution)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time

Flexstaf I.T. Inc.

Senior Data Science Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, 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

Position: Senior Data Science Developer

Requisition Number: RQ00242

Type: Contract

Duration: 6 months

Location: Toronto

Work Schedule: Hybrid

Work Model: 3 days onsite / 2 days remote

MANDATORY SKILLS

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

SENIOR DATA ANALYTICAL SPECIALIST/SCIENTIST 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.

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.

REQUIRED

Deep expertise in statistics, probability, predictive modelling and machine learning
Advanced hands-on proficiency in Python, SQL and ML frameworks
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry
Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis
Strong proficiency in Python, SQL

PREFERRED

Public Sector Experience
Understanding of Generative AI and emerging AI techniques

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More about this job

Responsibilities

Develop advanced analytics, predictive models, and machine learning solutions, including prototypes and proofs of concept, to address business priorities. Assess data readiness, validate models, identify valuable AI opportunities, operationalize successful solutions with cross-functional teams, and communicate findings and outcomes to stakeholders.

Requirements

Requires a quantitative degree or equivalent experience, significant experience in data science or advanced analytics, and strong expertise in statistics, predictive modeling, Python, SQL, and machine learning. Hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry is required; public sector experience and knowledge of generative AI are preferred.

Skills

Statistics
Probability
Predictive Modeling
Machine Learning
Python
SQL
Azure Machine Learning
Microsoft Foundry
Statistical Analysis
Feature Engineering
Model Validation
Data Quality Assessment
Responsible AI
Data Governance
Stakeholder Management
Business Value Analysis

Visa sponsorship

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Keywords

Python
SQL
Power BI
VSCode
Git
Jira
Azure
Azure OpenAI
Microsoft Foundry
Azure AI Foundry
Azure Machine Learning
Azure ML Studio
Databricks
Machine Learning
Predictive Modeling
Statistical Inference
Classification
Regression
Clustering
Feature Engineering
Experimentation
Model Selection
Model Validation
Exploratory Data Analysis
Data Quality
Responsible AI
Data Governance
Model Risk
Generative AI
Analytics KPIs

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