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Added 2 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 2 months ago
Senior Analyst, Decision Platforms
Momentum Financial Services Group
Toronto, ON
Data Analysis and Performance Monitoring: Use SQL and analytical methods to validate decision outcomes, investigate issues, monitor platform and strategy performance, and identify…
Added 2 months ago
T
Sr. Product Solution Analyst, TD Securities
TD
Toronto, ON
- Full-time
Added 2 months ago
Software Developer Intern, Geotab Vitality (Winter/January 2027, 4 Months)
Internship List
Toronto, ON · Oakville, ON · Waterloo, ON
As a Software Developer Intern on the Systems team, you will work across the full stack to design, build, and optimize the core platform powering Vitality's driver-behavior features. You…
Added 2 months ago
Senior Data Developer
Dialogue
Montreal, QC
We are seeking a product-oriented Senior data developer to help us deliver more value with our growing data product catalogue. In particular, we’re interested in candidates with experience…
Added 2 months ago
Environmental, Health & Safety Intern
Interfor
Timmins, ON
You are comfortable analyzing information and using Microsoft Excel; experience with SQL or Tableau is an asset.
Added 2 months ago
B
Data Engineer - Sports & Prediction Markets
Betstamp
Toronto, ON
- Full-time
Comfortable working with SQL and investigating query performance
Added 2 months ago
B
Market Data Engineer - Prediction Markets & Odds Infrastructure
Betstamp
Toronto, ON
- Full-time
Comfortable with SQL and query performance investigation
Added 2 months ago
B
Backend Engineer - Real-Time Sports Data (Go / ClickHouse / AI-Native)
Betstamp
Toronto, ON
- Full-time
Comfortable working with SQL and investigating query performance
Added 2 months ago
V
Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
10+ years experience as a software developer in an industry setting.
Added 2 months ago
I
Principal Engineer, Architecture
iQmetrix
Regina, SK
- Full-time
Added 2 months ago
JG
Spark Scala Java Developer
J&M Group
Toronto, ON
- Contract
Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).
Added 2 months ago
WC
Senior Analyst, Seller Planning
Walmart Canada
Mississauga, ON
- Full-time
Added 2 months ago
C
Data Migration Specialist I
CATALIS
Edmonton, AB
- Full-time
Expert or advanced skills in MS-SQL or PostgreSQL
Added 2 months ago
E
Senior Software Engineer (Oracle Fusion)
EBizCharge
Canada
- Full-time
Solid proficiency in one or more of: Java, PL/SQL, Groovy, JavaScript/TypeScript, and Oracle ADF or Visual Builder.
Added 2 months ago
H(
Senior Analyst, Real Estate Portfolio Analytics
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
Added 2 months ago
WI
Senior Business Analyst
Wenco International Mining Systems
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Experience working with enterprise data environments, including data warehouses, SQL-based reporting, and analytics platforms, is considered an asset.
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
Avoir de l’expérience avec des outils comme Python, SQL, Jira, Asana ou des outils semblables (un atout)
Added 2 months ago
DevOps - Data Analyst
F12.net
Edmonton, AB
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
Senior Software Engineer
Fleetworthy
Edmonton, AB
Own SQL query performance for the code you write and contribute to database design decisions.
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.

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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