Jobs in Canada

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Added 1 month ago
Senior Developer Support Engineer - Builder Experience (BX)
Okta
Toronto, ON
As a Senior Developer Support Engineer on the Builder Experience team, you are a hands-on technical problem solver passionate about helping Okta’s customers, ISVs, GSIs, and partners…
Added 1 month ago
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Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
We are looking for a Senior Data Platform Engineer to design, automate, and operate the shared capabilities that underpin our enterprise data platform.
Added 1 month ago
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Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- $165,000 to $313,300 CAD / year
- Full-time
…complex customer transformations? As a Cloud & AI Apps Solution Engineer, you will bring deep technical expertise in agentic AI, AI application architecture, and cloud-native development…
Added 1 month ago
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Senior Software Developer
CNN
Ottawa, ON · Kanata, ON
- Full-time
Candidate must have ability to test and learn newer technologies and concepts on the job related to best practices and operational excellence
Added 1 month ago
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Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
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Senior Cybersecurity Recovery Architect
Nutrien
Calgary, AB
- Full-time
The Senior Cyber Recovery Architect serves as a hands-on technical leader responsible fordesigning, deploying, and continuously validating the organization’s cyber resilience…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
- Full-time
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
N
Senior Cybersecurity Recovery Architect
Nutrien
Saskatoon, SK
- Full-time
The Senior Cyber Recovery Architect serves as a hands-on technical leader responsible fordesigning, deploying, and continuously validating the organization’s cyber resilience…
Added 1 month ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Our offices currently operate on a hybrid model with three days in office
Added 1 month ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Our offices currently operate on a hybrid model with three days in office
Added 1 month ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 1 month ago
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Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Lantern is seeking a hands-on, client-facing Senior Data Scientist to design, develop, and operationalize advanced analytics, machine learning, generative AI, and agentic AI solutions using…
Added 1 month ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 1 month ago
Thermal Development Engineer
Canadian Natural
Calgary, AB
All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions
Added 1 month ago
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Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Reporting to the Senior Director, Cyber Security Engineering & Operations and working as a fully dedicated, embedded security partner to the AI Centre of Enablement and the Enterprise…
Added 1 month ago
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Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Senior Software Development Engineer, you will be a technical leader on the team responsible for maintaining and building our pay-related features. This is a hands-on-keyboard role…
Added 1 month ago
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Senior Data Engineer
Confluence Technologies
Canada
- Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 month ago
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Senior Software Engineer
Orbis Group
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
This is a great opportunity for a Python engineer who wants to work on genuinely complex backend systems, while developing exposure to financial markets and working alongside quants, risk…
Added 1 month ago
Senior Infrastructure Engineer
Upstart
Canada
As the Senior Infrastructure Engineer joining this team, you will focus on:
Added 1 month ago
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Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
Aspiring IT Inc. is seeking an experienced Senior Software Engineer to design, develop, integrate, and maintain scalable software applications and cloud-based systems.
Added 1 month ago
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Staff Data Scientist, Applied ML
Jobber
Remote, Canada
- $145,900 to $197,400 CAD / year
- Full-time
- Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 1 month ago
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Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 1 month ago
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Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem.…
Added 1 month ago
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Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala

Lantern

Data Scientist

AB, Canada
Edmonton, AB, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Experience: 5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Posting language: English
Posted: Sep 29, 2026

Original job description

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Lantern is seeking a hands-on, client-facing Senior Data Scientist to design, develop, and operationalize advanced analytics, machine learning, generative AI, and agentic AI solutions using Azure Databricks and the Microsoft data and AI ecosystem. You will partner with client stakeholders, data engineers, architects, and application teams to translate business problems into secure, governed, scalable, and explainable AI solutions - from experimentation and feature engineering through deployment, monitoring, and measurable adoption.

Key Responsibilities

Lead discovery sessions to define analytical problems, success metrics, data requirements, experimentation plans, and production roadmaps.
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Build, evaluate, and tune predictive, forecasting, optimization, natural language processing, computer vision, generative AI, and agentic AI solutions.
Use Azure Databricks capabilities such as Delta Lake, Unity Catalog, MLflow, Feature Engineering, Model Serving, Mosaic AI, and vector search to create governed, production-ready solutions.
Integrate solutions with Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and Azure services as appropriate.
Implement MLOps and LLMOps practices including source control, automated testing, CI/CD, model registration, deployment, monitoring, drift detection, responsible AI, and cost optimization.
Communicate findings and model behavior through clear visualizations, executive-ready narratives, demonstrations, and technical documentation.
Own assigned workstreams, manage risks and dependencies, and collaborate with client teams to drive adoption and measurable business outcomes.
Contribute to proposals, reusable accelerators, technical standards, peer reviews, mentoring, and the growth of Lantern’s Databricks and Microsoft AI practices.

Skills, Knowledge and Expertise

5+ years of experience developing and delivering data science, machine learning, or AI solutions, preferably in consulting or other client-facing environments.
Strong hands-on experience with Azure Databricks for data preparation, distributed model development, experiment tracking, model lifecycle management, and production deployment.
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Strong foundation in statistics, supervised and unsupervised learning, feature engineering, model evaluation, explainability, and experimental design.
Experience developing generative AI solutions using large language models, retrieval-augmented generation, embeddings, vector databases, prompt engineering, evaluation, and agentic patterns.
Working knowledge of Microsoft Azure AI Foundry, Azure OpenAI, Microsoft Fabric, OneLake, Power BI, and the broader Azure data and AI ecosystem.
Experience with MLOps or LLMOps, CI/CD, model serving and monitoring, data governance, Unity Catalog, security, responsible AI, performance, and cost optimization.
Strong consulting, communication, visualization, documentation, problem-solving, and stakeholder-management skills, with the ability to explain complex models to technical and executive audiences.

Preferred Certifications And Credentials

Databricks Certified Machine Learning Professional or Machine Learning Associate
Databricks Certified Generative AI Engineer Associate
Databricks Certified Data Engineer Associate or Professional
Microsoft Certified: Azure Data Scientist Associate (DP-100)
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Microsoft Certified: Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600)
Databricks Solutions Architect Champion is highly preferred and considered a strong differentiator

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More about this job

Responsibilities

Lead client discovery and develop, evaluate, and operationalize predictive, generative, and agentic AI solutions using Azure Databricks and Microsoft technologies. Implement governed MLOps and LLMOps practices, communicate results to stakeholders, and drive adoption and measurable business outcomes.

Requirements

Requires 5+ years of experience delivering data science, machine learning, or AI solutions, strong Python, SQL, PySpark, and Azure Databricks skills, and a solid foundation in statistics and model development. Candidates should also have experience with generative AI, production operations and governance, and strong consulting and communication skills; relevant Databricks and Microsoft certifications are preferred.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Feature Engineering
Statistical Analysis
Model Evaluation
Retrieval-Augmented Generation
Azure OpenAI
Microsoft Fabric
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Model Serving
Vector Search
Python
SQL
PySpark
Scikit-Learn
XGBoost
TensorFlow
PyTorch
Machine Learning
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Databases
Azure AI Foundry
Azure OpenAI
Microsoft Fabric
OneLake
Power BI
MLOps
LLMOps
CI/CD
Responsible AI

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Work requirements

Jobs in Canada