442 Data Scientist jobs in Canada

Job Description
Insight Global is looking for a Data Scientist for one of our top clients. This is a 6 month contract, with a high likelihood of extensions. A successful candidate must be located in Saskatoon and OK to go into the office 5 days a week, with site visits approximately once a month. A successful candidate will play a key role in the development and deployment of AI/ML-driven solutions for operational technology (OT) and information technology (IT) systems, with a focus on enhancing automation, predictive analytics, and digital transformation initiatives
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Proficiency in the development of high-throughput intelligent visual analytics systems, including:
o Training & Implementation of state-of-the-art machine-learning models including detection of anomalies and extraction of features within monitored industrial processes (e.g. Belt conveyors, continuous miners, loadout equipment)
o Development of low-latency frame-decoding, processing, and ML inference utilizing highly efficient on-GPU pipelines (gstreamer, deepstream)
o Ability to identify, communicate, and correct CV system inefficiencies using trace tools such as Nvidia Nsight.
o Expertise with a broad array of CV & ML toolsets including Pytorch, accelerated OpenCV, CUDA, Gstreamer, Deepstream and supporting libraries such as CuPy.
Deep technical proficiency with Python, the Unix OS ecosystem, containerization, virtualization, and familiarity with C++ and memory management:
o Expertise in Python concurrency, efficient use of threading and subprocesses, and an understanding of the GIL and its limitations.
o Expertise developing in a Unix OS environment, comfortability working primarily with CLI tools, bootstrapping and maintaining software environments, compilation of open source software from source, Unix system automation, building and managing containers, etc.
o Understanding of C++ and low-level concepts such as memory management, efficient use of system IO (especially CPU & GPU synchronization), understanding of OS level process management, scheduling, concurrency, etc. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Job Description
We are looking for a detail-oriented and driven Intermediate Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets, building AI/ML models, and extracting insights to support fraud detection and anti-money laundering (AML) efforts. You will spend a significant portion of your time working with data, manipulating it, and summarizing analysis to present results in an accessible manner to both technical and business stakeholders. This candidate will Work closely with cross-functional teams to integrate models and provide continuous monitoring and validation. As well as measure and assess the performance of models, applying statistical and probability-based techniques.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
3-5 years of experience with Python and SQL.
2+ years of experience developing AI/ML models.
Proficiency in end-to-end model development and validation.
Strong ability to manipulate and analyze large datasets to extract meaningful insights.
Experience with fraud detection and AML models, particularly involving transaction and behavioral data.
Strong presentation and communication skills to summarize and present complex analyses to both technical and business stakeholders. Experience with SAS for model development and validation.
Knowledge of risk and market risk, particularly in the context of financial services. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans _(Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and machine learning.
+ Design, develop, and implement machine learning models tailored to specific operational use cases.
+ Automate data extraction, transformation, and loading processes for ML pipelines.
+ Deploy and integrate new and existing models into enterprise systems, including SAP S/4HANA.
+ Monitor, test, and refine models to ensure accuracy, robustness, and measurable business value.
+ Maintain detailed documentation, standards, and best practices for AI/ML solutions.
+ Engage with business stakeholders to gather requirements, incorporate feedback, and ensure solutions align with strategic goals.
+ Stay current on advancements in ML/AI and proactively introduce relevant innovations to the organization.
**How to thrive in this role? Skills, knowledge & experience?:**
+ 5+ years of direct experience in analytics, data science, or software development with a focus on AI/ML.
+ Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
+ Strong expertise in designing and implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
+ Proven experience with cloud platforms-Microsoft Azure preferred-particularly tools like Azure Data Factory, Azure Databricks, and Azure Machine Learning.
+ Advanced programming skills in Python and PySpark; experience with modular software design and software architecture.
+ Familiarity with containerization tools such as Docker and experience with packaging and deploying software in production environments.
+ Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
+ Knowledge of scripting in Linux or PowerShell.
+ Strong analytical thinking, problem-solving ability, and decision-making initiative.
+ Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 8148 Data Scientist

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans ( _Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
As a Data Scientist, you will report to the Programs Manager in the Programs & Supply Chain department. You will collaborate closely with cross-functional teams to enhance supply chain efficiency and support strategic program initiatives, contributing to the overall success of our business unit.
+ Design and develop machine learning and AI models using Azure Databricks.
+ Use curated data from the data platform to create predictive, prescriptive, and descriptive models that address business needs.
+ Deploy models into production using Azure Databricks and other Azure ecosystem tools.
+ Monitor and maintain models to ensure accuracy, performance, and reliability over time.
+ Partner with the data engineering team to access and prepare high-quality datasets for model development.
+ Work closely with application developers to integrate AI models into AI-enabled applications seamlessly.
+ Conduct experiments to evaluate model performance and optimize algorithms for accuracy and efficiency.
+ Use Azure Databricks' model registry to track and manage model versions and performance.
+ Document model development processes, assumptions, and outcomes for transparency and reproducibility.
+ Share insights and findings with stakeholders to drive data-driven decision-making.
**How to thrive in this role? Skills, knowledge & experience:**
+ Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
+ You have 5+ years of professional experience in data science and machine learning, with a focus on model development and deployment.
+ Hands-on experience with Azure Databricks, including its model registry and data catalog.
+ Experience developing machine learning models using Python and libraries such as TensorFlow, PyTorch, or scikit-learn.
+ You are autonomous, innovative and dynamic.
+ Proficiency in Python, SQL, and Spark for data processing and model development.
+ Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
+ Familiarity with Azure ML and other Azure ecosystem tools for model deployment and monitoring.
+ Experience with CI/CD workflows for AI/ML engineering is an asset.
+ Passion for staying ahead of industry trends, bringing fresh ideas, strong analytical problem-solving skills with attention to detail.
+ Interest in exploring and incorporating the latest advancements in AI/ML into projects.
Please note: You don't need all the skills, knowledge, and experience listed for this position! We're not looking for the perfect candidate, we're looking for great talent and resourcefulness.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift** Day job
**Employee Status** Regular
**Requisition** 7989 Data Scientist

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans ( _Dental, medical, life insurance, disability, and more_ )
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Collect and preprocess data from various sources such as SAP, Salesforces, and the Connected Aircraft Smart Link Plus box (IoT) of our Global and Challenger fleet
+ Perform exploratory data analysis and feature engineering to extract new insights and generate business value, ready to be deployed at scale for maximum impact
+ Develop, train, validate, and monitor machine learning, statistical, and AI models to propel our Digital Portfolio of customer-facing applications as well as increase the productivity of our Aftermarket tools and processes
+ Plan and implement the Aftermarket Data Science & AI roadmap together with product managers, product owners, business analysts, and UI/UX designers
+ Work in close collaboration with data and ML engineers, ensuring the models are productionized successfully and yield the desired outcome
+ Collaborate with aircraft system engineers, technical specialists, field service representatives, and our Customer Response Center to develop a state-of-the-art Predictive Maintenance solution comprised of a Condition Monitoring, Diagnostics, and Prognostics modules
+ Conduct literature reviews and competitive intelligence on AI-powered digital products and services tailored to the business aviation industry
+ Communicate findings to AI and non-AI practitioners alike, bridging the gap between technology and business
**How to thrive in this role?**
+ You have a master's degree or Ph.D. in Computer Science, Engineering, or related field
+ You have experience developing AI/ML solutions in a business context with proven benefits
+ You have experience deploying big data analytics in the cloud (AWS, Azure, Google Cloud)
+ You have experience supporting enterprise-grade, fully productionized ML pipelines
+ You have experience with time-series data, particularly telemetry (sensor-based) data
+ You have experience with predictive maintenance and aircraft systems (asset)
+ You master Python and its ecosystem of machine learning libraries
+ You are result-driven, open-minded, curious, autonomous, and enthusiastic
+ You are a team player with above-average communication skills in English and French
**?Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 6554 Data Scientist

Job Description

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.