IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 3, 2026

Hiring at a glance

View jobs

Open jobs: 2,537
Employers: 1,316

Advertised starting pay

Average starting payCAD / year: $97,379Across 248 listings
Average starting payCAD / hour: $50.62Across 81 listings
Average starting payUSD / year: $117,865Across 51 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%129 listings
Hybrid: 40%1,003 listings
On-site: 55%1,397 listings

Not specified: <1% (8 listings)

Employers hiring include TD (39), J&M Group (38), Amazon (35).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 25 days ago
GT
Analyste fonctionnel SAP IBP MM – SAP IBP MM Functional Analyst
Groupe Touchette
Burlington, ON · QC
- Full-time
Added 25 days ago
M
Analyste principal(e) des systèmes d’affaires / Sr. Business Systems Analyst
McKesson
Montreal, QC
- Full-time
Added 1 month ago
M
Lead Technical Project Manager
MAP
Toronto, ON
- Full-time
Added 1 month ago
MN
Client Data Analyst II
Mosaic North America
Toronto, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 1 month ago
MN
Client Data Analyst II
Mosaic North America
Mississauga, ON
- Full-time
The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights,…
Added 25 days ago
GS
Platform Support Database Administrator III
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
…excellence and transformative innovation in AI, cloud, and data to ensure every customer solution is reliable, performant, and compliant. You’ll join a collaborative, globally distributed…
Added 1 month ago
B
Business Systems Analyst
Bombardier
Dorval, QC
- Full-time
Added 1 month ago
P
Senior Data Engineer
Pomerleau
Montreal, QC
- Full-time
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 26 days ago
RB
Data Engineer, RBC Amplify 2027, Toronto
Royal Bank of Canada
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 26 days ago
RB
Data Engineer, RBC Amplify 2027, Halifax
Royal Bank of Canada
Halifax, NS
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 26 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 26 days ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 26 days ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 26 days ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate an
Added 29 days ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 29 days ago
Senior Data Engineer - Calgary
Capgemini
Calgary, AB
Added 29 days ago
Senior Data Analyst
Konrad
Toronto, ON
Added 1 month ago
PC
Business Systems Analyst
People Corporation
Toronto, ON · Burlington, ON · ON - PC Sheppard - Toronto
- Full-time
You are responsible for process analysis, data analysis and s
Added 1 month ago
PG
Business Systems Analyst – NICE Actimize
Pacer Group
Toronto, ON
- $48 to $50 CAD / hour
- Contract
Added 1 month ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
Added 1 month ago
D
Technical Project Manager – Software Implementation Services
Designfusion
Toronto, ON
- Full-time
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 28 days ago
B
Junior Technical Support Analyst
BBGC
Remote, Canada
- Remote
Added 1 month ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON · Montreal, QC
- Full-time

Tenova

R&D Engineer- Data Scientist

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 3-5 years of experience using Python for data analysis, algorithm development, and machine learning model development.
Posting language: English
Posted: Sep 3, 2026

Original job description

Job description:

Job Summary
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and simulation.

This role applies statistical analysis, data visualization, machine learning, and data processing techniques to identify patterns, interpret results, improve data quality, and develop data-driven solutions for development and production applications.
The R&D Engineer - Data Science must possess a degree or diploma in a related field and a minimum of three years of related experience.

Job Duties
Predictive Modeling and Machine Learning
* Research, develop, evaluate, tune, and deploy predictive and machine learning models for manufacturing process control, optimization, and simulation.
* Build and maintain end-to-end machine learning pipelines, from data ingestion and validation through deployment and inference.
* Monitor and analyze model and system performance, identify sources of prediction error, and tune models and integrated systems to improve accuracy and reliability in development and production applications.
* Investigate, recommend and integrate appropriate machine learning technologies into the company's production platforms.

Data Analysis and Data Management
* Perform statistical analysis, data visualization, and interpretation of results to identify trends, patterns, and improvement opportunities.
* Collect, review, clean, and validate operational and test data for use in modeling, analytics and reporting.
* Develop and maintain data processing, cleaning, and validation routines to ensure data quality, consistency, and usability.
* Troubleshoot data collection and data quality issues across development and production environments.

Tools and Reporting
* Develop reusable tools, procedures, and workflows to support deployment, monitoring, operations, and process automation.
* Participate in the development and maintenance of dashboards that summarize key performance indicators (KPIs) for data collection equipment and model health.
* Prepare technical documentation, progress reports, analysis summaries, and internal or external project updates.

Improvement and Innovation
* Investigate new applications of data science towards the improvement of process efficiency and plant automation.
* Identify opportunities for improved data acquisition and expanded use of existing data.
* Support the development and improvement of project standards, procedures, documentation, and best practices.

Technical Expertise and Collaboration
* Stay current with relevant technologies, tools, industry trends, and best practices in data science, machine learning, and process automation.
* Provide technical guidance to team members, internal stakeholders, and customers.
* Present technical findings, research outcomes, and project results at meetings, workshops, conferences, or client sessions as required.
* Support recruitment, onboarding, and training of new members of the Project Operations team as needed.

Client and Project Support
* Build and maintain strong working relationships with internal teams, external clients, and project stakeholders.
* Collaborate with senior engineers and project managers to support timely, cost-effective project execution.
* Communicate regularly with clients, provide updates and recommendations, and escalate risks, concerns, or major issues when required.
* Participate in onsite engineering visits to customer locations, including internationaltravel, to support project development and implementation.

Job Requirements
* Master's or PhD degree in Electrical, Computer Engineering or a related field
* Strong programming skills in Python, with solid understanding of data structures, algorithms, and software development principles.
* Strong understanding of supervised machine learning methods for regression and classification, including their practical advantages, limitations, and appropriate use cases.
* 3-5 years of experience using Python for data analysis, algorithm development, and machine learning model development.
* Hands-on experience with common data science, machine learning, and data visualization libraries, such as pandas, NumPy, scikit-learn, PyTorch, Matplotlib, Seaborn, or equivalent tools.
* Experience designing and implementing end-to-end machine learning solutions, including data ingestion, preprocessing, validation, training, evaluation, deployment, and inference.
* Strong understanding of data pipeline stages and practical experience developing data processing and cleaning routines.
* Experience with time-series analysis, forecasting, and regression-based modeling.
* Experience with spectral analysis and strong understanding of Fourier Transform concepts.
* Knowledge of statistical techniques and concepts, including regression, probability distributions, statistical testing, and proper application of statistical methods.
* Experience with object-oriented programming and application development
* Experience with C#, C++ or VB.net is an asset

* Willingness to travel internationally. Must be able to travel to foreign countries including the United States without restrictions.

Competencies
* Adaptability - Adapts and responds to changing conditions, priorities, technologies, and requirements.
* Attention to Detail - Attends to details and pursues quality in the accomplishment of tasks, regardless of the volume of duties encountered.
* Communication - Expresses and transmits information with consistency and clarity.
* Continuous Improvement - Strives to improve job responsibilities through developing skills and increasing knowledge.
* Judgement - Ability to use sound reasoning when faced with various issues. Has the ability to make quick, effective decisions.
* Organization - Able to create or maintain processes to ensure all relevant information or tools are easily accessible.
* Ownership - Takes pride in the work that is accomplished, and understands the function of tasks within the larger picture of the organization. Ensures deadlines are met and work is completed properly.
* Problem Solving - Able to break down a situation into smaller pieces to identify key issues and figure out cause and effect relationships in order to solve. Use logic and analytical methods to come to realistic solution.
* Resourceful - Responds to difficult situations or workplace requirements by using the available tools and information to support decisions and solutions.
* Results Orientation - Able to focus on desired outcomes, and the means by which they are achieved by meeting and or exceeding standards based on past performance, goals, and objectives, as well as the performance and/or achievements of others.
* Time Management - Balances a myriad of tasks; prioritizes duties as needed.
* Commitment to Health and Safety - Works in compliance with all applicable health and safety legislation and established policies and procedures.
* Proficiency in MATLAB for data analysis, modeling, simulation, or algorithm development
* Experience visualizing, manipulating, and analyzing large datasets
* Ability to effectively communicate both verbally and in writing
* High flexibility with strong interpersonal skills that allow one to work effectively in a diverse environment
* Ability to work individually as well as part of a team
* Ability to prioritize and manage conflicting demands
* Demonstrated time management skills
* High level of integrity and work ethic

Apply About employer

More about this job

Responsibilities

Develop and deploy predictive machine learning models and pipelines for manufacturing process control, optimization, and simulation. Analyze operational data and create data processing routines to improve data quality and plant automation efficiency.

Requirements

Requires a Master's or PhD in Electrical or Computer Engineering with 3-5 years of experience in Python-based data science and machine learning. Must be proficient in statistical techniques, time-series analysis, and willing to travel internationally.

Skills

Python
Machine Learning
Data Analysis
Predictive Modeling
Statistical Analysis
Data Visualization
PyTorch
Scikit-learn
Pandas
NumPy
Time-series Analysis
Spectral Analysis
Fourier Transform
MATLAB
Object-oriented Programming
C#

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Manufacturing
Process Control
Python
PyTorch
Scikit-learn
Pandas
NumPy
Matplotlib
Seaborn
MATLAB
C#
C++
VB.net
Time-series Analysis
Fourier Transform
Spectral Analysis
Regression
Classification
Data Pipelines
KPI Dashboards
Statistical Testing
Plant Automation
Mining
Engineering
Predictive Modeling
Data Ingestion
Inference
Object-oriented Programming

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