Find work in Canada.

567,826 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
CM
Marketing Science Lead
Critical Mass
Toronto, ON
- Full-time
Experience with Redshift, Python, SQL and applying data engineering best practices to data product delivery.
Added 2 months ago
T
Opentext Developer
TechDoQuest
Markham, ON
- Full-time
Experience with RESTful APIs and web services integration
Added 6 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Develop scalable, testable, and reliable internal data science tools, primarily in Python.
Added 2 months ago
JG
Dev Lead
J&M Group
Toronto, ON
- Contract
Proficiency in Python for automation, scripting, and backend development.
Added 2 months ago
S
Staff Data Analyst
Stripe
Toronto, ON
- Full-time
…startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount…
Added 1 month ago
Data Analyst
Stripe
Canada
…startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount…
Added 2 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 2 months ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 2 months ago
Manager, AI & Data Consulting
Artefact North America
Montreal, QC
Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
Added 2 months ago
TC
Unpaid Internship: FrontEnd REACT/JS (FullStack) Fall Internship 2026
The Commons XR
Remote, Canada
- Remote
Our Environment REACT, JS, AWS Cloud (SQL, NSQL, API), Plotly.js , Python, BaSH, Visual Studio, GSuite, Microsoft Office Suite, Slack, Git, SiteGround (Wordpress/PHP)
Added 2 months ago
SH
Intermediate Data Engineer
Sandman Hotel Group
BC · West Vancouver, BC
- Full-time
Write efficient, maintainable SQL, and tune queries and warehouse performance.
Added 2 months ago
E
Senior Consultant - Credit Risk Modelling
EY
Toronto, ON
- Full-time
Significant experience and proven ability to program in pertinent languages, such as Excel, SAS, SQL, R, and Python.
Added 2 months ago
EB
Senior Manager, Financial Systems & Data Analytics
EQ Bank
Toronto, ON
- Full-time
Advanced experience with Power BI, Power Query, SQL, data modelling, reporting architecture, data quality controls, and automation tools such as VBA or Python.
Added 2 months ago
TK
Senior Data Steward
The Kraft Heinz Company
Toronto, ON
- Full-time
Strong understanding of code languages for data manipulation. SQL required, Snowflake and Python experience are helpful.
Added 2 months ago
CE
Director of Technical Support
CarltonOne Engagement ULC
Markham, ON
- Full-time
Leverage SQL and data analytics to generate insights, reports, and dashboards for leadership
Added 2 months ago
HL
Full Stack Developer
Hygiena LLC
Toronto, ON
- Full-time
In this role, you will design, build, and operate features across SureTrend®, Hygiena’s multi-tenant food safety and quality management SaaS platform. The platform supports web application…
Added 2 months ago
PL
Manager - Assumed Administration, North America Life (NAL)
PartnerRE Ltd.
Toronto, ON
- $98,045 to $122,055 CAD / year
Proficiency in SQL, Excel, and ETL tools; familiarity with VBA, Python, or BI platforms is a plus
Added 2 months ago
Analyst, Global Support Workforce Planning
Lyft
Toronto, ON
Sharp analytical mindset with hands-on SQL and Python skills
Added 2 months ago
I
Data Architect
ICES
Toronto, ON
- Full-time
ICES is a world-leading health research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and…
Added 2 months ago
T
Data Analyst
TBWA\Worldwide
Toronto, ON
- Full-time
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Added 2 months ago
C
Senior Software Engineering Specialist
CGI
Toronto, ON
- Full-time
As a full-time member of CGI, you will become part of a collaborative team of architects, developers, and consultants delivering enterprise technology solutions for some of Canada's leading…
Added 2 months ago
B
Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 2 months ago
KP
Full Stack Engineer (12 month contract)
Kruger Products | Produits Kruger
Canada
- Contract
Proficiency in front-end and back-end development using JavaScript/TypeScript, Python, SQL, and frameworks such as ReactJS, Django, and Node.js.
Added 2 months ago
V
Software Developer, III
Verily
Waterloo, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 2 months ago
ES
Lead, Go to Market Intelligence
Euna Solutions
ON · Oakville, Ontario
- Full-time
Euna Solutions is hiring a Lead, Go to Market Intelligence, to own the account and contact intelligence layer that tells our sellers which public sector agencies to pursue and when. This…

Artefact North America

Senior, AI & Data Science

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 3–5 years of relevant data science experience with a substantial quantitative skill set.
Posting language: English
Posted: Aug 20, 2026

Original job description

About the job

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise - we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.

As Artefact continues to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing

Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing through production.

You will work across the full modeling spectrum - forecasting, classification, clustering, and causal analysis on one engagement; fine-tuning experiments and LLM evaluation on the next. You will own your models: the data behind them, the methodology, the deployment, and the story told to the client. You will also help junior scientists grow.

Translate business and marketing challenges into analytical use cases with clear hypotheses and success metrics.
Develop statistical and machine learning models: regression, forecasting, classification, clustering, and causal inference.
Select techniques based on business context, constraints, and data availability - and be able to justify the choice.
Ship production-ready solutions: training, deployment, monitoring, and ongoing refinement.
Run fine-tuning experiments: dataset curation, SFT, LoRA/PEFT, and rigorous evaluation of results against baselines.
Build evaluation suites for LLM systems: benchmarks, LLM-as-judge patterns, and regression tests.
Work with embeddings and retrieval where they affect answer quality.
Contribute to model selection decisions: prompting vs. RAG vs. fine-tuning, cost vs. quality vs. latency.
Build data pipelines for ingestion, transformation, and quality assurance across diverse data sources.
Create clear visualizations and dashboards that support data storytelling and decision making.
Present findings to client stakeholders, translating methodology into business language.
Mentor junior data scientists and use AI-assisted tools (Claude Code, Gemini CLI) to raise the whole team's pace.

What we are looking for

3–5 years of relevant data science experience with a substantial quantitative skill set.
Strong knowledge of statistics and ML algorithms, with at least one proven experience developing and deploying models.
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Hands-on experience with LLMs: evaluation, RAG, or fine-tuning experiments (professional or substantial personal projects).
Specialization in at least one major AI platform ecosystem - Google (Gemini, Vertex AI), Anthropic (Claude), or OpenAI - and familiarity with a cloud platform (GCP, Azure, or AWS).
Comfort with AI-assisted development tools such as Claude Code, Gemini CLI, or Cursor.
Excellent interpersonal and communication skills: you can present methodology and results to non-technical audiences.
Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field, or equivalent experience.

Preferred:

Causal inference, time series, or advanced statistics experience.
Hugging Face Transformers, LoRA/PEFT, or open-weight model experience.
MLOps exposure: model versioning, pipelines, monitoring.
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.

Why Join Us

We are united by our values and strengthened by our hybrid expertise.

There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
Client trust is won on the field: Addressing client needs flows better hands on at their side.
If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.

How We Support Our People

In addition to our values-driven culture, we offer a range of benefits and programs designed to support our employees' growth and well-being, including:

Learning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth.
Hybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments.
Comprehensive Benefits: We offer a competitive benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and paid parental leave.
Time to Recharge: We believe sustainable performance matters. That's why we offer unlimited paid time off, giving you the flexibility to take the time you need.
Growth Opportunities: As a rapidly growing organization, you'll have the opportunity to expand your skills, take on new challenges, and help shape the future of the company.

Apply About employer

More about this job

Responsibilities

You will own AI and data science models end-to-end, from problem framing and methodology development to production deployment and monitoring. Additionally, you will translate business challenges into analytical use cases and mentor junior data scientists to drive measurable impact.

Requirements

Candidates must have 3–5 years of relevant data science experience with strong proficiency in Python, SQL, and machine learning algorithms. A Master's degree in a quantitative field is required, along with hands-on experience in LLMs and cloud-based AI platforms.

Skills

Python
SQL
Machine learning
Statistics
LLM evaluation
RAG
Fine-tuning
Data modeling
Data visualization
Causal inference
Cloud platforms
MLOps
Mentoring
Data storytelling
Agile methodologies

Benefits

Medical coverage
Dental coverage
Vision coverage
401(k) plan with company matching
Paid parental leave
Unlimited paid time off
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Consulting
Python
SQL
Scikit-learn
XGBoost
PyTorch
LLM
RAG
Fine-tuning
LoRA
PEFT
GCP
Azure
AWS
Vertex AI
Gemini
Claude
OpenAI
MLOps
Causal inference
Time series
Hugging Face
Data pipelines
Agile
Data storytelling
Machine Learning Engineer
Predictive modeling
Clustering

Report this job