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Added 2 months ago
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
…transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 2 months ago
L
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
- Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 2 months 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 2 months ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
…Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational…
Added 2 months ago
TA
Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics
Canada
- Full-time
Expert in Python with strong OOP and functional programming skills
Added 2 months ago
TR
Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend & AI Skills: Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design,…
Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
Backend Skills & AI Skills: Hands-on experience building APIs and services with Python as a core language, working knowledge of Node.js, and working familiarity with GenAI concepts…
Added 2 months ago
GD
Cybersecurity Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Strong with C, C++, C#, and Python programming languages
Added 2 months ago
A
Software Engineer, Education
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Start strong: you will write production-quality code, maintain and connect systems, and collaborate with cross-functional teammates to deliver education features for Autodesk products. You…
Added 2 months ago
HT
Co-op Researcher - Physical AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
Strong coding skills in Python, experience with coding in Pytorch.
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact North America
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
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 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
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
…infrastructure powering our AI systems. You will work closely with data scientists, platform engineers, and engineering leaders to scale our GenAI footprint efficiently and…
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
This is a hands-on senior individual contributor position with broad technical authority. You will write Bicep, operate and improve our AKS footprint, review other people’s infrastructure…
Added 2 months ago
B
Software Engineer - Continuous Delivery
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools.
Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…

Welcome to the Jungle

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 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.

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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 complex business challenges into analytical use cases and mentor junior data scientists to enhance 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 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
Google Cloud
Vertex AI
Anthropic
OpenAI
MLOps
Causal inference
Time series
Data pipelines
Dashboards
Agile
Machine Learning
Cloud Computing
Data storytelling
Hugging Face
Transformers
Predictive modeling
Clustering

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