Jobs in Canada

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Added 2 months ago
UM
Principal Backend Engineer
US Mobile
Montreal, QC
- Full-time
Develop and maintain RESTful APIs using Java (Spring Boot or related web frameworks) or Python (Flask, Django)
Added 2 months ago
R
Founding AI Quality & Release Engineer
Raydar
Remote, Canada
- Full-time
- Remote
7 to 15 years in quality engineering, release engineering, platform engineering, developer productivity, SDET-adjacent engineering, or a similar software role.
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact North America
Montreal, QC
Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.
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
Senior, AI & Agentic Engineer
Artefact North America
Montreal, QC
…will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it…
Added 2 months ago
Manager, AI & Data Consulting
Artefact North America
Montreal, QC
Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Added 2 months ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
…modern full-stack frameworks (TypeScript/React front ends; Python/Node…
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 3 months ago
TC
Unpaid Internship: FrontEnd REACT/JS (FullStack) Fall Internship 2026
The Commons XR
Remote, Canada
- Remote
You must have a foundation in our platforms to be able to learn, train and apply your knowledge
Added 2 months ago
P
Software Engineer Intern
Picovoice
Vancouver, BC
- $30,000 to $60,000 CAD / year
Added 2 months ago
SH
Intermediate Data Engineer
Sandman Hotel Group
BC · West Vancouver, BC
- Full-time
Build automation, tooling, and operational scripts using Python and PowerShell.
Added 2 months ago
C
Cluster Operations Software Engineer
Cerebras
Toronto, ON
- Full-time
Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
Added 2 months ago
E
Senior Consultant - Credit Risk Modelling
EY
Toronto, ON
- Full-time
To qualify for the role, you must have
Added 2 months ago
E
Cybersecurity Lead
e-STORAGE
Kitchener, ON
- Full-time
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
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
Strong backend software development experience in one or more major programming languages such as Java, C++, Go, Python or similar languages
Added 2 months ago
Software Development Engineer III, Agentic Client Experience (ACE) - Builder Foundations
Amazon
Vancouver, BC
…autonomous productivity platforms. You'll work across Java, Python, and TypeScript with deep expertise in RAG, DAG, MCP, ACP, agentic evaluations, AWS infrastructure (Lambda, DynamoDB,…
Added 2 months ago
CE
Director of Technical Support
CarltonOne Engagement ULC
Markham, ON
- Full-time
Added 2 months ago
Java Backend Developer
Capgemini
Toronto, ON
We're looking for an experienced Java Backend Developer to join our dynamic team. You'll play a crucial role in delivering innovative integration solutions for our Commercial Banking…
Added 2 months ago
Analyst, Global Support Workforce Planning
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
Senior Consultant- Finance Optimization- Financial Accounting and Advisory Services- Assurance
EY
AB · Calgary, AB
Experience in using software tools such as the MS Office suite, process documentation (e.g., Visio, LucidChart), financial/data modeling, data analytics (e.g., Python)
Added 2 months ago
I
Data Architect
ICES
Toronto, ON
- Full-time
Added 3 months ago
C
Senior Workday (HCM) Test Engineer
Cognizant
Toronto, ON
- $60,000 to $90,000 CAD / year
- Full-time
Must have strong practical experience in test automation using Python and/or Java, alongside web automation with Selenium
Added 3 months ago
SI
Validation / Verification Engineer, Sr Staff -18261
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
You are comfortable in the lab with an oscilloscope in one hand and a Python script in the other, moving between electrical measurements and data analysis without losing sight of what you…

Artefact North America

Senior, AI & Data Science

Montreal, QC, Canada

Apply on job-boards.greenhouse.io 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 on job-boards.greenhouse.io 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

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Work requirements

Jobs in Canada