Data scientist jobs in Canada (930 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 930
Employers: 452

Advertised starting pay

Average starting payCAD / year: $125,131Across 97 listings
Average starting payCAD / hour: $71.22Across 38 listings

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

Where work happens

Remote: 7%66 listings
Hybrid: 48%447 listings
On-site: 45%416 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), National Bank of Canada (20), Desjardins (14).

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

Data scientist jobs in Canada

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Added 1 month ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Added 2 months ago
EH
Machine Learning Scientist
Eli Health
Remote, Canada
- Full-time
- Remote
Added 2 months ago
JG
Data Scientist
J&M Group
Toronto, ON
- Full-time
Experience with Azure data tools - azure, databricks, MLflow, python
Added 2 months ago
BP
Data Scientist
BNP Paribas
Montreal, QC
- Full-time
Added 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
Added 2 months ago
E
Data Scientist
EIZIE
MB
- Full-time
We are seeking a talented and analytical Data Scientist to join our dynamic data team. As a Data Scientist, you will play a crucial role in extracting valuable insights from large datasets,…
Added 2 months ago
C
Data Architect
Capco
Toronto, ON
- Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
BS
Sr. Data Scientist
B3 Systems
Toronto, ON
- Full-time
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Added 2 months ago
HN
Senior Data Scientist
Harvey Nash
Toronto, ON
- $65 to $70 CAD / hour
- Contract
We are seeking a highly skilled and motivated Senior Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to…
Added 2 months ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
Added 2 months ago
AI and Data - Data Architect (Databricks)
EY
Toronto, ON
We are seeking a Manager/ Data Architect for our AI & Data practice team. We are looking for a candidate with strong technical
Added 2 months ago
L
Sr Data Scientist II
LexisNexis
Toronto, ON
- Full-time
Added 2 months ago
RC
Data Scientist
Rocket Companies
Windsor, ON
- Full-time
As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for…
Added 2 months ago
S
Lead Data Scientist
Sanofi
Toronto, ON
- Full-time
Added 2 months ago
EH
Machine Learning Scientist
Eli Health
Montreal, QC
- Full-time
Added 2 months ago
PX
Consultant, Data Scientist (Cortex AI)
Project X Ltd.
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
SG
Senior Machine Learning Engineer
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
SG
Senior Data Scientist
SCIENTIFIC GAMES
Toronto, ON
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Added 5 months ago
FH
Data Scientist
Fraser Health
Surrey, BC
- Full-time
Are you looking for that opportunity to put your established data expertise to use in healthcare? Do you take responsibility for your own performance and aim to model integrity, resilience…
Added 2 months ago
NB
Senior Data Scientist Model Validation
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior Data Scientist, Validating models in the Risk Management Models team at National Bank means acting as a specialist who ensures the robustness, reliability and…
Added 2 months ago
D
Manager, Data Architect
dentsu
Toronto, ON
- Full-time
Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients…
Added 2 months ago
Data Scientist, Optimization - Real-Time Supply Management
Lyft
Toronto, ON
Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation…
Added 1 month ago
Data Architect
Capco
Toronto, ON
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…

Workday

Machine Learning Engineer - Financials

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 8, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Do you want to be part of the team which is reinventing Enterprise Financials for the agentic age? The Financials Hyper Automation AI team is a small, advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems. We have an entrepreneurial mindset with a focus on creating delightful, intelligent experiences, leveraging the state-of-the-art in AI as well as strong, proven techniques from conventional machine learning. Working closely with product managers, we build advanced prototypes as well as deploy full production-grade features to solve our customer’s most pressing business challenges. Our current areas of development include strong reasoning agents for complex financial workflows and agentic self-improvement.

About the Role

As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with other engineers to deliver ML solutions across Workday’s ML infrastructure, from training ML models to developing APIs, as well as managing the lifecycle of such products and services. You will be backed by Workday’s vast computing resources and rich datasets, to deliver transformative value to our customers.

Your specific responsibilities include:

Own exploration, design, implementation, and deployment of features.
The evaluation, scalability, and observability of these features.
Apply ML techniques, including LLMs and natural language understanding, to intelligently process business documents and, for example, automate critical customer workflows.
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
Serve as a technical role model for more junior engineers

Sound like your kind of challenge?

About You

Basic Qualifications:

5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.
5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
5+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent.

Other Qualifications:

5+ years of professional experience in building information retrieval systems
5+ years of professional experience building scalable, production-level ML services on platforms such as Kubernetes.
5+ years of professional experience in ML and deep learning frameworks & toolkits, such as scikit-learn, Pandas, PySpark, Pytorch, TensorFlow.
3+ years of professional experience in developing with LLMs, RAG, and AI agents.
Strong understanding of statistical analysis, ML paradigms and algorithms, and natural language processing, with a focus for information retrieval and/or recommendation system use cases.
Professional experience in independently solving ambiguous, open-ended problems and technically leading a team.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Apply About employer

More about this job

Responsibilities

The role involves designing, implementing, and deploying machine learning features to solve complex financial business challenges. You will work on the full lifecycle of ML products, from training models to managing production-grade services and APIs.

Requirements

Candidates must have at least 5 years of experience in machine learning engineering or data science, including production-level deployment. A bachelor's degree in a technical field is required, with proficiency in Python and cloud computing platforms.

Skills

Machine learning
Python
Generative AI
LLMs
RAG
Cloud computing
Kubernetes
Deep learning
PySpark
PyTorch
TensorFlow
Natural language processing
Statistical analysis
Information retrieval
Recommendation systems
API development

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
Generative AI
LLMs
RAG
Cloud Computing
AWS
GCP
Kubernetes
Deep Learning
Scikit-learn
Pandas
PySpark
PyTorch
TensorFlow
Natural Language Processing
Statistical Analysis
Information Retrieval
Recommendation Systems
ERP
Financial Systems
Agentic AI
API Development
Model Lifecycle Management
Data Science
Software Development
Enterprise Financials
Hyper Automation
Autonomous Agents
Orchestration Frameworks

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