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Added 1 month ago
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Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
10+ years experience as a software developer in an industry setting.
Added 1 month ago
SG
Quality Control Specialist - Testing, Automation and Cloud Validation
SCIENTIFIC GAMES
Montreal, QC
- Full-time
…Framework, pytest, Postman/Newman, REST Assured, JMeter/k6, Python, Bash, PowerShell et…
Added 1 month ago
M
Summer Intern 2027 - Quantitative Analyst
Manulife
Toronto, ON
- Full-time
Strong knowledge and programming experience in Python, C/C++, MATLAB, VB/VBA, etc. Object-oriented programming experience is preferred.
Added 1 month ago
WC
Specialist - Electrical Engineering
Wabtec Corporation
London, ON
- Full-time
Contribute to automation and tooling through coding and scripting (e.g., C, C++, Python, VBA)
Added 1 month ago
C
Data Migration Specialist I
CATALIS
Edmonton, AB
- Full-time
Develop and maintain scalable data migration tooling, including optimized PostgreSQL stored procedures, .NET/C# migration workflows, and Python-based automation
Added 1 month ago
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Développeur Logiciel Full-Stack (C++) / Full Stack Software Developer (C++)
Actalent
Laval, QC
- $90,000 to $120,000 CAD / year
- Contract
3. Créer et mettre en œuvre des solutions d’automatisation des tests et de script en Python
Added 1 month ago
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Software Manager, MachineLogic / Gestionnaire, génie logiciel (MachineLogic)
Vention
Montreal, QC
- Full-time
Make MachineLogic an open platform: Python SDK, developer tooling, extensibility, and an experience that serves the expert integrator as well as the user who has never written a line of…
Added 1 month ago
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Lead Agentic AI Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $86,000 to $131,000 CAD / year
- Full-time
Evaluate, recommend, and securely adopt emerging AI technologies, platforms, and developer tools across cloud environments (Azure and AWS) to advance organizational capabilities.
Added 1 month ago
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Senior Analyst, Real Estate Portfolio Analytics
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Added 1 month ago
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Platform Engineer
UST
Montreal, QC
- Full-time
Added 1 month ago
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Artiste technique sénior·e en intelligence artificielle ‒ Frostbite/Senior UI Technical Artist - Frostbite
Frostbite
Montreal, QC
- Full-time
Scripting, visual scripting, shader graphs, C# or Python.
Added 1 month ago
TT
Building Automation Technician
Trane Technologies
Montreal, QC
- Full-time
Added 1 month ago
TT
2027 BrainBox AI Intern
Trane Technologies
Montreal, QC
- Full-time
Avoir de l’expérience avec des outils comme Python, SQL, Jira, Asana ou des outils semblables (un atout)
Added 1 month ago
CF
Senior Observability Engineer
CI Financial
Toronto, ON
- Full-time
Build automation for platform operations, integration workflows, reporting, and remediation using Python, Bash, or PowerShell, along with REST APIs and webhooks.
Added 1 month ago
Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp, Inc.
Vancouver, BC
Strong hands-on programming skills in one or more of C/C++, Go, or Python, and experience debugging distributed software in Linux-based environments
Added 1 month ago
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Conops Satellite Systems Engineer
Scalian
Montreal, QC
- Full-time
Added 1 month ago
DevOps - Data Analyst
F12.net
Edmonton, AB
PySpark, Python, or notebook development experience.
Added 1 month ago
CF
Intermediate Observability Engineer
CI Financial
Toronto, ON
- Full-time
Experience with scripting or automation using Python, Bash, or PowerShell for monitoring operations and platform support tasks.
Added 1 month ago
Research Officer (1-year Term)
University of Toronto
Toronto, ON
Minimum one year of experience using statistical software or programming languages, such as R or Python, for data management, analysis, and data quality checks
Added 1 month ago
TT
LiDAR Data Analyst (Co-op)
Teledyne Technologies Incorporated
Concord, ON · Canada - Concord, ON (TDY)
- Full-time
Basic programming skills in Python, MATLAB, C++, or similar languages.
Added 1 month ago
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Solutions Architect
VGS
Canada
- Full-time
Comfortable writing production-grade code examples and reference implementations in one or more of VGS's primary deployment languages: Python, JavaScript, Java, or Ruby.
Added 2 months ago
S
Embedded Linux BSP Developer
Syntronic
Ottawa, ON
- Full-time
We are looking for an Embedded BSP Developer to support the design, development, integration, and maintenance of low-level software for ARM-based automotive platforms. This role focuses on…
Added 1 month ago
KC
Senior Infrastructure Security Specialist
Kepler Communications
Toronto, ON
- Full-time
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
Server Engineer
Black Duck Software, Inc.
Calgary, AB
Support and maintain automation and Infrastructure-as-Code solutions using technologies such as Ansible, Terraform, PowerShell, Python, or similar tools.

Artefact

Senior, AI & Data Science

Montreal, QC, Canada

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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.

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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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