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Added 2 months ago
KP
Full Stack Engineer (12 month contract)
Kruger Products | Produits Kruger
Canada
- Contract
Proficiency in front-end and back-end development using JavaScript/TypeScript, Python, SQL, and frameworks such as ReactJS, Django, and Node.js.
Added 2 months ago
V
Software Developer, III
Verily
Waterloo, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
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
5+ years of hands-on experience with strong SQL query skills, writing complex, highly optimized queries across large datasets for both administration and application data.
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
…that support core business capabilities, partnering closely with engineers, product managers, and business stakeholders. We are looking for a highly experienced software engineer with deep…
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 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
Proficiency in Python (PySpark) and/or Java, plus strong SQL for data validation and troubleshooting
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
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
P
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
N
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 1 month 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
…of CGI's Data Platform Engineering practice, collaborating with teammates, contributing to reusable data assets, and continuously developing your technical and consulting…
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
Database Management: Interface with relational databases (e.g., PostgreSQL, SQL Server, Oracle, DB2) and NoSQL datastores (e.g., MongoDB, Redis, CosmosDB).
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
Develop and maintain data processing solutions using Python and SQL for data ingestion, transformation, and analytics, leveraging Databricks, Spark, Apache Kafka, Azure Event Hubs,…
Added 2 months ago
IC
Full Stack Developer
Infoya Career Connect
Vancouver, BC · Ottawa, ON · Toronto, ON · Waterloo, ON · Montreal, QC · ON
- $85,000 to $115,000 CAD / year
- Full-time
Experience with Node.js, Java, Python, or .NET
Added 2 months ago
B
MarTech Developer
BrainStation
Toronto, ON
- $90,000 to $120,000 USD / year
- Full-time
As a MarTech Developer, you'll be tasked with working on a variety of client-facing marketing technology initiatives. Working within cross-functional project teams, your responsibilities…
Added 2 months ago
VN
Solutions Architect, AI Systems
Viral Nation
Toronto, ON
- Full-time
Write and maintain working code (Python, SQL, APIs) to operationalize models and pipelines - doesn't need to be enterprise-grade, needs to run.
Added 2 months ago
P
Software Developer - Talent Community
Portfolio+
Whitchurch-Stouffville, ON
- Full-time
As a Software Developer with Portfolio+, you will play a key role in shaping and enhancing our financial software solutions, empowering customers to achieve their goals. Leveraging your…
Added 2 months ago
M
Automation Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Knowledge of programming languages (Python, C#, SQL, C++, Java, VB (.NET), etc.) is an asset
Added 2 months ago
J
Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Proficiency in SQL and Python (or a similar language), enough to independently pull, analyze, and interrogate data and to collaborate credibly with Data Science and Analytics.
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 2 months ago
FB
Analyst, Data Analytics- Retail Financing (Fixed Term Contract)
Fairstone Bank
London, ON · Toronto, ON
- Full-time
Advanced proficiency in SQL, Python/R, and data visualization tools (Alteryx, Power BI - Tableau and asset)

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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