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Added 2 months ago
IC
Test Automation, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Knowledge with web applications architecture, APIs, SQL and NoSQL databases
Added 2 months ago
R
Risk Analyst
Relay
Remote, Canada
- Full-time
- Remote
SQL proficiency - you can pull your own data without waiting on analytics
Added 2 months ago
ES
Lead, Go to Market Intelligence
Euna Solutions
ON · Oakville, Ontario
- Full-time
…intelligence. The role is hands-on technical: you will write SQL and Python daily, build and validate predictive models against closed outcomes, and own the analytical pipelines that turn…
Added 2 months ago
S
Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
…passionate about data, have strong hands-on expertise in both SQL Server and MySQL, and thrive in a collaborative engineering environment. You bring deep knowledge of relational and NoSQL…
Added 2 months 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 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
Added 2 months ago
C
Analyste-programmeur AS400, Cobol
CGI
Montreal, QC
- Full-time
We are looking for a hands on Intermediate or Senior AS/400 Developer to support an active project involving IBM i / AS/400 applications. The selected candidate will be responsible for…
Added 2 months ago
AA
Lead Product Manager, Inspections
ACV Auctions
Toronto, ON
- Full-time
Added 3 months ago
TC
QA Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- $75,000 to $90,000 CAD / year
- Full-time
Continuously improve automation architecture, execution reliability, maintainability, and developer experience.
Added 2 months ago
MG
Head of Sales
Monex Global
Toronto, ON
- Full-time
Data Analytics & Business Intelligence – Proficiency in BI tools (Power BI, Tableau, SQL, Python, or R).
Added 3 months ago
KC
Senior Manager - IT Audit, Technology Risk Services
KPMG Canada
Edmonton, AB
- Full-time
Added 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
Tune clusters and SQL warehouses for cost and performance, and manage catalog, schema, and access governance across environments
Added 2 months ago
TS
Developer
TAG Software Group
Winnipeg, MB
- Full-time
The UnionWare Developer is responsible for designing, developing, implementing, and maintaining enterprise-level solutions that support both client and internal business needs.
Added 2 months ago
KD
Analyste, Intelligence d’affaires / Business Intelligence Analyst
Keurig Dr Pepper
Montreal, QC
- Full-time
La maîtrise de langages de programmation tels que SQL, Python et R constitue un atout supplémentaire;
Added 2 months ago
PG
Sr. Regulatory Reporting Analyst - Finance
Peoples Group
Vancouver, BC
- Full-time
Advanced level of Excel, and ability to work with data using tools including SQL and XML.
Added 2 months ago
Senior Full Stack .NET Developer
Corpay
Vancouver, BC
Corpay is currently looking to hire a Senior Fullstack .NET Developer within our Buyatab division. This position falls under our Corpay Payables line of business and is located in…
Added 2 months ago
SS
Financial Engineer, truView, Vice President
State Street
Toronto, ON
- Full-time
Comfort with VBA and SQL, familiarity with C++/C#, Python, R
Added 2 months ago
Product Manager
PlayStation Global
Waterloo, ON
Ability to work directly with data using SQL or an equivalent analytical workflow, with enough fluency to independently investigate questions and validate hypotheses.
Added 2 months ago
Analytics Engineer III, Assurance
ACV
Toronto, ON
Write complex SQL transformations on large datasets; optimize for cost and performance
Added 2 months ago
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Institutional Account Associate – Client Management & Analytics (Toronto)
PIMCO
Toronto, ON
- Full-time
Proficient in Microsoft Excel (including VBA) and in coding/querying languages such as Python and SQL
Added 2 months ago
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Bilingual (English/French) Associate Director, Retail Analytics
NielsenIQ
Toronto, ON · Boischatel, Québec
- Full-time
Experience with SQL, Databricks, Python, or other analytical programming tools.
Added 2 months ago
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
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.
Added 2 months ago
TR
Senior Data Developer
Teck Resources Limited
Vancouver, BC · Greater Vancouver Metropolitan Area
- $122,000 to $150,000 CAD / year
- Full-time
Reporting to the Lead, the Senior Data Developer is responsible for supporting the development of reliable site data that enables Operations performance reporting and analytics.

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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