Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 2 months ago
Architecte de solutions sénior | Sr. Solution Architect, Enterprise Industries
Amazon
Montreal, QC
In this role, you will partner with customers, sales, and cross-functional AWS teams to guide complex technology decisions and accelerate adoption. You will design architectures and build…
Added 2 months ago
Senior Software Engineer, Storage Infrastructure
Planet
Canada
If located near an office, you are expected to work from that office 3 days per week
Added 2 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
…members. We are a team of dedicated Engineers and Designers with an average of 7 years’ tenure at Grantek. The vast majority of our employees have started off their careers at Grantek and…
Added 2 months ago
CF
Senior Observability Engineer
CI Financial
Toronto, ON
- Full-time
…is hands-on and execution-focused, supporting Dynatrace and AWS CloudWatch implementations, dashboard development, alert tuning, instrumentation, and operational reporting for critical…
Added 2 months ago
KC
Senior Infrastructure Security Specialist
Kepler Communications
Toronto, ON
- Full-time
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
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).
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.
Added 2 months ago
H
AI Architect
HCLTech
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
This is a senior strategic and technical leadership role. Talent will convert business requirements into scalable and effective AI solutions. He will bridge the gap between complex business…
Added 2 months ago
AI & Agentic Engineer, Senior
Artefact
Montreal, QC
Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
Added 2 months ago
LI
Senior Software Developer
LINK INVESTMENT MANAGEMENT INC
Calgary, AB
- Full-time
The required skills enable the Senior Software Developer to write clean, efficient, and maintainable code that meets business requirements and technical standards. Proficiency in multiple…
Added 2 months ago
B
Senior Platform Engineer
Buyerlink
Victoria, BC
- Full-time
BuyerLink runs a marketplace and a portfolio of consumer properties on Google Cloud and Microsoft Azure, with a small amount of legacy workload still on AWS. We are hiring a Senior Platform…
Added 2 months ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
…The opportunity is accelerated growth in your knowledge and skills, role/position & responsibilities, and earnings. We hire for talent & attitude – technical skills can be developed,…
Added 2 months ago
OT
Senior AI Developer (AI-Powered Applications)
Open Text Corporation
Waterloo, ON
- Other
We are seeking a highly skilled and motivated Senior Software Developer to help build cutting-edge AI-powered applications and agentic experiences. In this role, you will work as a key…
Added 2 months ago
Manager, Software Development - Clinical Care Enablement team
AlayaCare
Montreal, QC
With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early…
Added 2 months ago
Cybersecurity - Cloud Security - Manager (Cloud Security Specialist)
EY
Toronto, ON · Montreal, QC · Vancouver, BC · Edmonton, AB · AB · Calgary, AB
To qualify for the role you must have:
Added 2 months ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Must have experience:
Added 2 months ago
Senior Software Developer, Backend
Dialogue
Montreal, QC
Your role as Senior Software Developer, Backend
Added 2 months ago
Business Intelligence Developer
Take-Two Interactive Software, Inc.
Toronto, ON
Strong communication skills with the ability to present data-driven insights clearly to non-technical stakeholders and senior leadership.
Added 2 months ago
PI
Senior Site Reliability Engineer
PENN Interactive
Canada
- Full-time
The SRE team at PENN Entertainment is looking for a Senior Site Reliability Engineer to help build and operate the infrastructure behind a large-scale sports betting and media platform.…
Added 2 months ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
…implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it…
Added 2 months ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
…Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses,…
Added 2 months ago
C
Senior DevOps Engineer (Python & GitHub Platform) - Hybrid
Cognizant
Halifax, NS
- $49,000 to $95,500 CAD / year
- Full-time
Experience with cloud platform such as Azure, AWS or GCP
Added 2 months ago
D
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte
Toronto, ON
- Full-time
Collaborate with data engineers and technology specialists to deliver cloud-enabled actuarial solutions (Azure/AWS/Google Cloud), including scalable pricing, reserving and capital modelling…
Added 2 months ago
D
Consultant/Senior Consultant, Cloud Security
Deloitte
Toronto, ON
- Full-time
Git and Scripting Languages (Bash, PowerShell, Python): Strong familiarity with version control using Git and scripting languages to automate security processes and tasks.
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…

Artefact

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 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.

Apply on job-boards.greenhouse.io About employer

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

Report this job

Work requirements

Jobs in Canada