Find work in Canada.

317,714 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
Serve as the senior subject-matter expert for Spark architecture, job optimization, SQL query tuning, distributed processing, and Databricks performance engineering.
Added 1 month ago
EA
Machine Learning Engineer III
Electronic Arts (EA)
Vancouver, BC
- Full-time
Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus.
Added 1 month ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 23 days ago
Data Solutions Architect
Spaulding Ridge
Toronto, ON
Ability to manage and develop talent of assigned junior resources through architecture reviews, code reviews, SQL/modeling reviews, technical coaching, and delivery mentorship.
Added 1 month ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
IS
Data Engineer
Irth Solutions
Remote, Canada
- Full-time
- Remote
We are looking for a Data Engineer to design, build, and maintain data ingestion and processing pipelines in Databricks, transforming high-volume external data sources into clean,…
Added 2 months ago
C
Principal Quality Architect
Carbon60
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 1 month ago
S
Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
We are looking for an experienced database engineer to help SurveyMonkey evolve its data stores toward a cloud-native, globally distributed architecture. You are passionate about data, have…
Added 1 month ago
AI Automation Engineer
7shifts
Toronto, ON
Technical foundation: You have experience building and deploying AI-powered solutions and connecting systems through APIs. You’re comfortable with Python or a similar programming language,…
Added 1 month ago
AI Automation Engineer
7shifts
Saskatoon, SK
Technical foundation: You have experience building and deploying AI-powered solutions and connecting systems through APIs. You’re comfortable with Python or a similar programming language,…
Added 1 month ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
…capabilities, partnering closely with engineers, product managers, and business stakeholders. We are looking for a highly experienced software engineer with deep expertise in Python and…
Added 1 month ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI…
Added 1 month ago
UG
Chief Architect - Data Engineering (Databricks Practice)
Unison Group
Toronto, ON
- Full-time
Modern edge - strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build.
Added 1 month ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 1 month ago
S
Senior Ethical Hacker
Stantec
Toronto, ON
- Full-time
Engineer custom Python, Terraform, and Ansible extensions to enable specialized security and
Added 1 month ago
Senior Software Engineer, Full-Stack Applications (Python & React)
Fitch Group
Toronto, ON
…capabilities, partnering closely with engineers, product managers, and business stakeholders. We are looking for a highly experienced software engineer with deep expertise in Python and…
Added 1 month ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 1 month ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 1 month ago
BS
Data Engineer
Blackline Safety
Remote, Canada
- Full-time
- Remote
You have opinions on data modeling, enjoy the challenge of working with event-driven architectures, and are comfortable switching between SQL, Python, Java, Scala and a variety of AWS…
Added 1 month ago
WE
Platform Engineer, Support - 9 Month Contract
Woodbine Entertainment
Toronto, ON · Woodbine HQ
- Full-time
Technical Skills and Certifications: Proficiency in Operating Systems and Databases: Solid understanding and experience working with various operating systems (Windows, Linux, Unix,etc.),…
Added 1 month ago
TC
ETL Automation Quality Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a detail-oriented ETL Automation Quality Engineer to ensure the reliability, accuracy, and efficiency of data pipelines. This role combines expertise in ETL processes,…
Added 1 month ago
PF
Senior Test Automation Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
We are seeking a highly skilled and self-motivated Senior Test Automation Engineer to join our Quality Engineering team. The ideal candidate will have extensive experience in test…
Added 1 month ago
P
Senior Software Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
As a Senior Software Engineer at Prophix, you'll play a central role in shaping the product that over 2,500 finance teams around the world rely on every day for budgeting, reporting, and…
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python , Spark/PySpark, Scala

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