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Added 10 mins ago
AI Solutions Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada’s top-performing asset managers? We’re hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark &…
Added 10 mins ago
AI Solutions Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top-performing asset managers? We’re hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark &…
Added 10 mins ago
AI Product Owner
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top-performing asset managers? We’re hiring an AI Product Owner in our AI Solutions engineering team. You are the engagement lead for affiliate and FG…
Added 10 mins ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
…secure, scalable, and efficient cloud and container platform solutions for our…
Added 10 mins ago
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 23 mins ago
AI ENGINEER
DATAEKO.AI
Huron Shores, ON
Contract
Experience handling quotas and selling products or solutions collaboratively with OEMs in a partner, reseller, or VAR environment
Added 24 mins ago
Senior Software Engineer (Sanctions Service & AI Inference)
Mastercard
Vancouver, BC
Full-time
…transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions,…
Added 24 mins ago
Lead Data Engineer (AI & Data Strategy)
Mastercard
Vancouver, BC
Full-time
Lead Data Engineer (AI & Data Strategy)Who is Mastercard?
Added 38 mins ago
Process Integration Engineer
Xanadu
Toronto, ON
Full-time
Design and execute fabrication process improvement experiments, including defining fabrication splits, gathering and analyzing inline data, etc.
Added 38 mins ago
Data Engineer
Insight Global
Toronto, ON
$70 to $85 CAD / hour
Contract
We are seeking a Data Engineer with strong Snowflake expertise and a solid understanding of Data Governance to support a major Wealth/Asset Management data initiative. This role will focus…
Added 39 mins 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 53 mins ago
Software Engineer
Mycionics Inc.
Kitchener, ON
Full-time
…spanning mechanical, electrical, firmware, software, AI/ML, and data analytics - and deploy them globally to customers across three…
Added 53 mins ago
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 hour 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 hour ago
Principal Risk Engineer, Energy & Renewables
Liberty Mutual Canada
Toronto, ON
Full-time
As a Principal Risk Engineer, Energy & Renewables, you'll play a critical role as a trusted advisor to both internal stakeholders and external partners - bringing deep technical insight,…
Added 1 hour ago
AI Infrastructure Engineer
Mission.dev
Canada
Full-time
As a founding Senior AI Infrastructure Engineer, you will report to the Chief Technology Officer to design and operate large-scale infrastructure for AI workloads on public cloud and…
Added 1 hour ago
Product Manager
Robert Half
Mississauga, ON
$85,000 to $95,000 CAD / year
Full-time
…space. This is an exciting opportunity for an early-career engineer who enjoys working directly with customers and wants to transition into a product-focused role at the intersection of…
Added 1 hour ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
…engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will…
Added 1 hour ago
Java full stack developer
NexZenTek Solutions Inc
Montreal, QC
Contract
We are looking for an experienced engineer with strong full-stack development skills and hands-on experience building AI/LLM-enabled enterprise applications.
Added 1 hour ago
Connected Vehicle Diagnostic Eng - AI/ML
KYYBA Inc
Ottawa, ON · Kanata, ON
Contract
…scale, consider joining our forward-thinking team. As a Systems Engineer ¿ End to End Software Diagnostics & Observability, you will work with a cross-functional team responsible for…
Added 1 hour ago
Machine Learning Engineer
Lorven Technologies Inc.
Toronto, ON
Contract
The Senior Machine Learning Engineer is a core technical practitioner responsible for designing, building, and deploying production-grade Machine Learning, Large Language Model (LLM),…
Added 1 hour ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
…engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will…
Added 1 hour ago
Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
Full-time
At CoolIT, an Ecolab company, you will help develop innovative liquid cooling solutions that support Ecolab's mission of protecting vital resources while advancing high-performance…
Added 1 hour ago
Associate Director - Lead Application Support Specialist, GED Support
Royal Bank of Canada
Toronto, ON
Full-time
As a Application Support Engineer for our Quantitative Investment Services, you'll take ownership of the reliability and performance of mission-critical trading platforms. This is more than…
Added 1 hour ago
AV Service Engineer - Control Systems & Device Integration
Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…

Lantern

Data Scientist

Edmonton, AB, Canada

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

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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 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

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