Jobs in Canada

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Added 5 months ago
A
Power Platform Architect (Canada)
Avanade
Toronto, ON
- Full-time
Design secure data models using a variety of data sources (Dataverse, SharePoint, SQL, etc.)
Added 2 months ago
SF
Systems Developer/Analyst
Simon Fraser University
Burnaby, BC
- Full-time
The Systems Developer/Analyst (SDA) contributes to the design and development of information systems and the identification of the university’s future information needs. The role is…
Added 2 months ago
TT
2027 BrainBox AI Intern
Trane Technologies
Montreal, QC
- Full-time
Lieu de travail: Ce poste est désigné comme étant en présentiel, avec un travail effectué à notre site de Montréal, QC, 5 jours par semaine
Added 2 months ago
Junior Java Developer
mthree Recruiting Portal
Halifax, NS
Want to start your career as a Java Developer?
Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 2 months ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
Strong SQL and Python skills, with emphasis on ETL/ELT pipeline development.
Added 2 months ago
EB
Senior Manager, Model Development
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Advanced programming skills in Python and SQL.
Added 2 months ago
S
Python Developer
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
We are looking for a Python Developer to join our engineering team and help us develop and maintain various software products. Responsibilities include writing and testing code, debugging…
Added 2 months ago
A
Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Toronto, ON
- Full-time
Advanced working knowledge and hands-on experience in SQL
Added 2 months ago
Production Support - SRE
Capgemini
Toronto, ON
● Database (SQL database management, MongoDb)
Added 2 months ago
XS
Développeur(-euse) principal(e) de produits, Fullstack / Senior Product Developer
Xona Space Systems
Remote, Canada
- Full-time
- Remote
Excellente maîtrise de JavaScript, TypeScript, Python, SQL, des API et/ou de MQTT.
Added 2 months ago
EB
Manager, Risk Data & Model Implementation
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Advanced database and programming skills in object-oriented programming languages (e.g., SQL, Python Programing) and familiarity with Python Flask/FastAPI, Azure Cloud Services are required.
Added 2 months ago
Electronics/Optoelectronics Technician
Excelitas Technologies
Vaudreuil-Dorion, QC
Added 2 months ago
LC
Consultant.e en chaîne d'approvisionnement/ Supply Chain Consultant
LIDD Consultants Inc.
Montreal, QC
- Full-time
Expérience de la gestion de bases de données et de la syntaxe SQL;
Added 2 months ago
Associate Director, Customer Compensation & Policy
HelloFresh
Toronto, ON
Added 2 months ago
M
SVP, Actuary
Marsh
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 2 months ago
C
Presales Solution Architect
Centrilogic
ON · Ontario, Canada
- Full-time
Added 2 months ago
P
Senior Software Engineer- Ruby on Rails
PosiTrace
Vancouver, BC
- $120,000 CAD / year
- Full-time
Work with large relational datasets and optimize database performance using MySQL and SQL.
Added 3 months ago
G
Spécialiste en tests de logiciels / Software Test Specialist
Genetec
Montreal, QC
- Full-time
Platforme cloud Azure (Microsoft SQL Server and Azure DevOps)
Added 2 months ago
Senior Software Engineer
Fleet Space Technologies
Toronto, ON
Tech stack: AWS, Python and/or Go, SQL, Docker, infrastructure as code, GitLab and CI/CD, REST, OpenAPI, GraphQL and gRPC.
Added 2 months ago
Consulting Associate/Cybersecurity & Incident Response (Forensic Services practice)
Charles River Associates
Toronto, ON
Programming, model building, and database administration (Python, T-SQL, VBA, Excel, C#, among others);
Added 2 months ago
V
Product Manager - MRP and WMS / Chef de produit - MRP et WMS
Vention
Montreal, QC
- Full-time
Added 2 months ago
FH
Lead, Health Informatics
Fraser Health
Edmonton, AB · Fraser Health, British Columbia
- Full-time
Proficiency in SQL and strong experience with Microsoft SQL Server, including performance tuning and ad-hoc queries.
Added 2 months ago
BT
Data Analyst - Winnipeg Office
Bison Transport
Winnipeg, MB
- Full-time
Write and validate SQL against a governed data warehouse to pull and join the data an analysis requires.
Added 2 months ago
Actuarial Expert - Pricing Modeling
Wawanesa Insurance
Calgary, AB · Edmonton, AB · Lethbridge, AB · Lloydminster, AB · Vancouver, BC · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Thunder Bay, ON · Toronto, ON · Montreal, QC · North York - Toronto, ON (Hybr, ON
Persuasive with the conclusions from their work. Often presents their work to Director + level. Fully proficient with Excel, SQL, R, Python, or other specialized programs.

Artefact

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 24, 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 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 improve team performance.

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 and hands-on experience with LLMs or cloud AI platforms are required.

Skills

Python
SQL
Machine learning
Statistics
LLM evaluation
RAG
Fine-tuning
Data modeling
Causal inference
Data visualization
Cloud platforms
MLOps
Data engineering
Mentoring
Communication skills

Benefits

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

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
Claude
Gemini
MLOps
Causal inference
Time series
Data pipelines
Data storytelling
Agile methodologies
Machine Learning Engineer
Hugging Face
Transformers
Predictive modeling
Clustering

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Work requirements

Jobs in Canada