Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 1 month ago
NB
Advisor Risk Model Validation
National Bank of Canada
Montreal, QC
- Temporary
of a specialised and experienced team and report to the Senior Manager – Model
Added 1 month ago
FM
Full Stack Developer - FNV Diagnostics Cloud
Ford Motor Company
Waterloo, ON
- Full-time
Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
Added 1 month ago
RB
Principal, Infrastructure Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
Mastery of at least one programming language, such as Python, Golang, Java or JavaScript.
Added 1 month ago
W
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
CT
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
QA
Data Scientist II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Day to day, you’ll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will:
Added 1 month ago
OG
Senior Software Engineer
Orbis Group
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
💻 Python | Django | FastAPI | AWS | MySQL | MongoDB
Added 1 month ago
Senior Infrastructure Engineer
Upstart
Canada
The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The…
Added 1 month ago
Actuarial Manager, Large Accounts Pricing
Aviva
Toronto, ON · Markham, ON
Effectively collaborate and communicate across the business with senior management, underwriters, and brokers to deliver impactful pricing solutions
Added 1 month ago
Senior Actuarial Analyst, Earnix
Aviva
Markham, ON
We are seeking a curious, innovative, and forward-thinking Senior Actuarial Analyst to join our high-performing Earnix Team. The Earnix Team sits at the intersection of insurance,…
Added 1 month ago
FS
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 1 month ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 1 month ago
A
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
AL
Senior Actuarial Analyst
ARAG Legal Solutions Inc. (Canada)
Toronto, ON
- Full-time
Reporting to the Vice President and Appointed Actuary, the Senior Actuarial Analyst will play a significant role in supporting the company’s actuarial reserving and financial reporting…
Added 1 month ago
Data Scientist
Lantern
Edmonton, AB
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
X
Quantum Software Developer - FTQC Software (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
Proven experience in production-grade Python and C++ software development with a focus on writing clean, modular and maintainable code.
Added 1 month ago
Senior Analyst
Government of Alberta
AB
Drive demographic insights that inform Alberta's future. As a Senior Analyst with the Office of Statistics and Information, you will lead the development of population estimates,…
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
- Full-time
- Remote
This is a senior individual contributor role with strong architectural scope. You'll be the person who decides how ML systems at Jobber are built, evaluated, and trusted and you'll be doing…
Added 1 month ago
RB
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
R
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
PV
Senior Developer
Pet Valu
Markham, ON
- Full-time
We are seeking a seasoned and forward-thinking Senior Applications Developer with deep expertise in cloud-native application development, particularly within the Microsoft Azure ecosystem.…
Added 1 month ago
FS
Senior Analyst, Macro Surveillance and Analytics
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Supports the Senior Manager of Risk Modelling and Analytics with programs/services/initiatives, plans, methods, tools, and processes to meet the overall strategic plans and priorities of…
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 1 month ago
GT
Senior Capacity Planning Analyst
Greater Toronto Airports Authority
Toronto, ON
- Full-time
Reporting to the Manager, Capacity Allocation, the Senior Capacity Planning Analyst will provide analysis and insight to the Airport Operations group and the GTAA. The role will provide…

Lantern

Data Scientist

Edmonton, AB, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

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

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Lead the design, development, and operationalization of advanced AI and machine learning solutions within the Microsoft ecosystem. Collaborate with client stakeholders and technical teams to translate business problems into scalable, governed, and explainable analytical solutions.

Requirements

Requires 5+ years of experience in data science or AI consulting with strong proficiency in Azure Databricks, Python, and SQL. Candidates should possess a solid foundation in statistics, MLOps practices, and experience with generative AI and large language models.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Azure OpenAI
Microsoft Fabric
Data Governance
Statistical Analysis
Feature Engineering
Consulting
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Azure OpenAI
Microsoft Fabric
Delta Lake
Unity Catalog
MLflow
Mosaic AI
Vector Search
Azure AI Foundry
Power BI
Data Governance
Statistics
Feature Engineering
Consulting
CI/CD
Databricks Certified
Azure Data Scientist Associate
Azure AI Engineer Associate
Predictive Modeling
Natural Language Processing
Computer Vision

Report this job

Work requirements

Jobs in Canada