Jobs in Canada

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Added 2 months ago
TM
Software Engineer
The MRG Group
Toronto, ON
- $85,000 to $130,000 CAD / year
- Full-time
We’re hiring software engineers at multiple levels (Intermediate & Senior) to help shape and scale the systems behind AdmitONE, our multi-product ticketing platform.
Added 2 months ago
A
Business Intel Engineer, WW Promotions and Events Data and Insights
Amazon
Vancouver, BC
- Full-time
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Added 2 months ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will contribute to the platform and infrastructure that powers Xanadu's quantum hardware development. You will work alongside hardware architects, photonic…
Added 2 months ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 7 months ago
HI
Senior Data Science Developers
HRbrain Inc.
Toronto, ON
- Full-time
Hybrid:3 days per week in the office
Added 2 months ago
C
Associate Director, Epidemiological Statistical Programming FSP
Cytel
Canada
- Full-time
The Associate Director, Epidemiological Statistical Programming serves as a senior technical leader within the Epidemiology programming function, providing functional guidance, technical…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days
Added 2 months ago
Senior Data Engineer
Scotiabank
Toronto, ON
Must have 5+ years of experience in Cloud: Azure · Must have 5+ years of experience in Lakehouse: Databricks
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
Core Analytical Tools: Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data preparation, analysis, and collaboration.
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
Serve as the senior subject-matter expert for Spark architecture, job optimization, SQL query tuning, distributed processing, and Databricks performance engineering.
Added 2 months ago
RC
Management Consulting Senior Associate, Finance Performance
RSM Canada
Toronto, ON
- Full-time
Digital experience and skillsets with enabling tools such as PowerBI, Alteryx, SQL Server, VBA, Python etc.
Added 2 months ago
A
Backend Python Developer
Apexon
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer(Python Backend ) to design and build highly scalable, secure, and high-performance solutions within our core banking platform. You will work in a…
Added 2 months ago
FH
FP&A Manager – Clinic Finance & Business Partner
Finni Health
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
Working knowledge of SQL and databases, Python, GitHub, and software development fundamentals.
Added 2 months ago
Senior Data Engineer
Konrad
Toronto, ON
Strong programming skills in SQL, Python, or related languages.
Added 6 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Develop scalable, testable, and reliable internal data science tools, primarily in Python.
Added 2 months ago
S
Staff Data Analyst
Stripe
Toronto, ON
- Full-time
…team. Set technical and strategic standards. Guide junior and senior analysts on how to frame ambiguous problems, structure analyses for maximum impact, and communicate findings to senior…
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, AI & Data Science
Artefact North America
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 2 months ago
E
Senior Consultant - Credit Risk Modelling
EY
Toronto, ON
- Full-time
To qualify for the role, you must have
Added 2 months ago
EB
Senior Manager, Financial Systems & Data Analytics
EQ Bank
Toronto, ON
- Full-time
Advanced experience with Power BI, Power Query, SQL, data modelling, reporting architecture, data quality controls, and automation tools such as VBA or Python.
Added 2 months ago
TK
Senior Data Steward
The Kraft Heinz Company
Toronto, ON
- Full-time
Strong understanding of code languages for data manipulation. SQL required, Snowflake and Python experience are helpful.
Added 2 months ago
I
Data Architect
ICES
Toronto, ON
- Full-time
Provide expert architectural guidance to senior leadership, DQIM, and Technology teams;
Added 3 months ago
T
Data Analyst
TBWA\Worldwide
Toronto, ON
- Full-time
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Added 3 months ago
C
Senior Software Engineering Specialist
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Software Engineering Specialist to join our growing Software Engineering consulting practice within the Emerging Technologies team.
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…

Artefact North America

Senior, AI & Data Science

Montreal, QC, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

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.

Apply on job-boards.greenhouse.io About employer

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 business challenges into analytical use cases and mentor junior data scientists to drive measurable impact.

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
GCP
Azure
AWS
Vertex AI
Gemini
Claude
OpenAI
MLOps
Causal inference
Time series
Hugging Face
Data pipelines
Agile
Data storytelling
Machine Learning Engineer
Predictive modeling
Clustering

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Work requirements

Jobs in Canada