Jobs in Canada

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 4 hours ago
HH
SR. Lab Technologist
Hamilton Health Sciences
Hamilton, ON
- Full-time
Designing and coordinating implementation of new methodology/technology and necessary validation as per guidelines.
Added 7 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 8 hours ago
PI
Automation and Controls Specialist
Price Industries
Winnipeg, MB
- Full-time
As a member of the Manufacturing Engineering Team, the Automation and Controls Specialist will be responsible for:
Added 10 hours ago
S
Web Developer
Salt
Toronto, ON
- Full-time
Our client is looking for a Web Developer Specialist to support the team. The ideal candidate will validate content, product information and functionality before and after launch, ensuring…
Added 10 hours ago
Payroll Systems Specialist
Tigercat | MacDonald Steel
Cambridge, ON
Dedicated Day Shift: 8:00am – 4:30pm, Monday – Friday
Added 11 hours ago
ON
Business Planning Specialist
Ontario Northland
North Bay, ON
- $83,538 to $98,280 CAD / year
- Contract
POSITION: Business Planning Specialist (12 Month Contract)
Added 11 hours ago
C
Eirene Enterprise Technical Change Champion
Citi
Mississauga, ON
- Full-time
2. Application Team Plan Validation & Technical Enablement
Added 11 hours ago
A
Specialiste Outils De Coupe
Actalent
Mirabel, QC
- $30 to $60 CAD / hour
- Contract
Qualification et validation des outils : Gérer le processus de qualification et de validation des nouveaux outils de coupe, en effectuant des essais rigoureux pour garantir leur performance…
Added 11 hours ago
A
Validation Specialist
Actalent
Cambridge, ON
- $35 to $50 CAD / hour
- Contract
We are seeking a Validation Specialist to support the qualification and validation of automated manufacturing equipment used in GMP-regulated Life Science environments. This role is…
Added 12 hours ago
Catastrophe Risk Specialist / Senior Catastrophey Risk Specialist
Wawanesa Insurance
AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Vancouver, BC · Calgary, AB · Toronto, ON · ON · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON · Hybrid - Canada, ON
Catastrophe Risk Specialist: salaries range from $90,000-$120,000, depending on qualifications and experience.
Added 12 hours ago
CI
Intermediate Analyst, Logistics (Nuclear)
Calian in Space & Technology
Tiverton, ON
- Full-time
…(SPOC), the incumbent supports logistics data accuracy, job validation, scheduling visibility, reporting, and issue escalation while collaborating closely with operations, logistics,…
Added 12 hours ago
ON
Business Planning Specialist
Ontario Northland
North Bay, ON
- Contract
POSITION: Business Planning Specialist (12 Month Contract)
Added 13 hours ago
FE
Lead Network Engineer
Future Electronics
Kirkland, QC
- Full-time
The Principal Specialist & Network Lead serves as the organization’s highest-level network technical authority, responsible for the strategic design, governance, optimization, and…
Added 14 hours ago
TI
Systems Administrator/Operations Support Specialist
Teckhorizon Inc
Toronto, ON
- Full-time
Perform data migration, validation, reconciliation, and integration troubleshooting.
Added 14 hours ago
PH
Laboratory Technician
Public Health Ontario
Toronto, ON
- Full-time
Technical support for validation or evaluation studies under the direction of the manager, team lead, MLT or molecular specialist.
Added 14 hours ago
Senior Manager, Bell AI Fabric Strategy
Bell
Regina, SK
Manage consultants, contractors and specialist advisors by defining questions and deliverables, challenging assumptions, resolving inconsistencies and integrating findings into coherent…
Added 14 hours ago
Robotics Integration Engineering Specialist – Robot, Vision & Edge Connectivity
Siemens
Kitchener, ON
Contribute to the design of validation and inspection workflows for robotics episodes and system behavior.
Added 16 hours ago
B
Senior Training Specialist
BuzzClan
ON · Ontario, Canada
- Contract
Position Title : RQ11856 - Senior Training Specialist
Added 17 hours ago
L
Murex Specialist
Luxoft
Toronto, ON
- Full-time
Handle support cases from notification to resolution and validation.
Added 18 hours ago
TI
Vehicle Data Specialist
Trader Interactive
Toronto, ON
- Full-time
Hybrid (3 days per week in office) - Virginia Beach, VA or Toronto, CAN
Added 18 hours ago
T®
Risk Governance Specialist
TekWissen ®
Montreal, QC
- $44.24 to $63.11 CAD / hour
- Contract
The Model Risk Governance Specialist is Responsible for the Following Activities:
Added 19 hours ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 19 hours ago
A
Manager, Sales Compensation
Aviso
Toronto, ON
- $110,000 to $135,000 CAD / year
- Full-time
Oversee the day-to-day administration of sales compensation programs and provide guidance and support to the Commission Specialist
Added 1 day ago
SM
RQ00242 – Senior Data Analytical Specialist/Scientist
S M Software Solutions Inc
Toronto, ON
- Full-time
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada
Added 1 day ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week

S M Software Solutions Inc

RQ00242 – Senior Data Analytical Specialist/Scientist

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 8, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Client: Metrolinx – RQ00242

We are seeking a highly skilled Senior Data Analytical Specialist/Scientist with strong expertise in data science, advanced analytics, statistical analysis, predictive modelling, and machine learning. The ideal candidate will have hands-on experience developing, tuning, and validating machine learning models using real-world enterprise datasets, along with advanced proficiency in Python, SQL, and modern cloud-based AI and analytics platforms. The successful candidate will develop advanced analytical solutions, generate AI-driven insights, identify high-value business opportunities, and work closely with cross-functional teams to operationalize predictive models and deliver measurable business outcomes.

Role Snapshot

Job Title: RQ00242 – Senior Data Analytical Specialist/Scientist
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days Onsite per Week
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day
Job Type: Contract
Public Sector Experience: Preferred but not required

Must Have

Deep expertise in statistics, probability, predictive modelling, and machine learning, including:
- Classification
- Regression
- Clustering
- Feature Engineering
- Experimentation
- Model Selection
- Model Validation
- Bias/Variance
- Overfitting
- Statistical Inference
Advanced hands-on proficiency in Python, SQL, and ML frameworks, with demonstrated experience building, tuning, and validating models using real-world datasets.
Strong experience with the following technology stack:
- Python
- SQL
- Power BI
- VS Code
- 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.

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.

Additional Information

Work Arrangement

This is a Hybrid position.
The selected candidate is required to work onsite 3 days per week at the client's location: 277 Front Street West, Toronto, Ontario, Canada.

Public Sector Experience

Public Sector experience is preferred but not required.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot proceed with your submission.

WhatsApp Group

For daily job updates, you can also join our WhatsApp group using the link below:

WhatsApp Group Link: Link

Additional Information

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop and validate advanced analytics and machine learning solutions, including predictive models and prototypes, to address business priorities and generate measurable outcomes. Assess data readiness and business value, operationalize successful solutions with cross-functional teams, monitor analytical KPIs, and communicate findings while applying responsible AI, privacy, and governance practices.

Requirements

Requires significant experience in data science, advanced analytics, predictive modeling, machine learning, or statistical analysis, with strong Python, SQL, and model development and validation skills. A degree in a quantitative field or equivalent experience is required, along with cloud analytics experience, business acumen, and strong communication and stakeholder-management skills.

Skills

Data Science
Advanced Analytics
Statistical Analysis
Predictive Modeling
Machine Learning
Python
SQL
Azure Machine Learning
Microsoft Foundry
Databricks
Power BI
Model Validation
Feature Engineering
Exploratory Data Analysis
Responsible AI
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

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

Report this job

Work requirements

Jobs in Canada