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Added 13 mins ago
Agent & DevOps Platform Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 14 mins ago
Senior Infrastructure Engineer
Upstart
Canada
Hands-on experience with AWS (e.g., IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes.
Added 29 mins ago
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
…guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a…
Added 59 mins ago
Data Scientist
Lantern
Edmonton, AB
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Added 1 hour ago
Software Engineer: Product Quality
Fiscal.ai
Remote, Canada
Full-time · Remote
…professionals. Combining a high-performance research Terminal with a modern, near-real-time fundamentals API and MCP server, Fiscal.ai is redefining financial data infrastructure for the AI…
Added 1 hour ago
Firmware Developer
Miovision
Remote, Canada
$85,000 to $115,000 CAD / year
Full-time · Remote
The Embedded Engineer: You bring solid embedded and firmware design experience, backed by strong programming chops in C/C++ and Python.
Added 1 hour ago
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
Full-time · Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 1 hour ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…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. In this…
Added 1 hour ago
Software Engineer – Messaging & Async Platform Infrastructure
Deel
Canada
Full-time
…performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries - helping…
Added 1 hour ago
Senior Quality Engineer - AI
Zodiac Solutions, Inc
Toronto, ON
Full-time
5+ years of programming experience with Java, Python, Groovy, or a comparable language.
Added 1 hour ago
Data Scientist
Lantern
AB · Edmonton, AB
Full-time
Advanced proficiency in Python and SQL, with practical experience in PySpark and common data science frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
Added 1 hour ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…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. In this…
Added 2 hours ago
Systems Engineer – End-to-End Software Diagnostics & Observability
Vertage
Ottawa, ON · Kanata, ON
Contract
Job title: Systems Engineer – End-to-End Software Diagnostics & Observability
Added 2 hours ago
Platform Engineer
Tekshapers
Toronto, ON
Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 2 hours ago
Data Engineer
BMO
Toronto, ON · SCC
Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 2 hours ago
Cloud Vulnerability Remediation Engineer
Insight Global
Toronto, ON
$60 to $82 CAD / hour
Contract
1) Strong programming or scripting experience with Python, Go, Bash, or similar languages, with the ability to read, troubleshoot, and modify code
Added 2 hours ago
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
As a senior engineer you are expected to operate with a high degree of autonomy. You will take ambiguous problems, decompose them, drive alignment on an approach, and deliver without…
Added 2 hours ago
AWS DevOps and AI/LLM Engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 2 hours ago
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
As a senior engineer you are expected to operate with a high degree of autonomy. You will take ambiguous problems, decompose them, drive alignment on an approach, and deliver without…
Added 2 hours ago
AI Engineer
Astek
AB · Edmonton, AB
$130,000 to $178,000 CAD / year
Full-time
You will work within a multidisciplinary team that includes an AI Architect and a Data Engineer. You will also collaborate closely with business stakeholders to identify opportunities,…
Added 2 hours ago
AI Engineer
Siri InfoSolutions, Inc.
ON · Ontario, Canada
Full-time
Looking for an experienced AI Engineer with strong Python development and production-grade AI/LLM application experience. The role involves designing scalable AI solutions, data analytics…
Added 2 hours ago
Software Engineer, Full Stack
MetAntz
Vancouver, BC
Full-time
You'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them. This is a full-stack engineering job with an unusually short distance between…
Added 2 hours ago
Senior Software Engineer - Platforms & Infrastructure
Tubi - Canada
Toronto, ON
As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments,…
Added 2 hours ago
Senior Associate, Finance Data Analytics & Insights - SLC Management
SLC Management
Toronto, ON · Sun Life Toronto One York
Full-time
…solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1400 organizations. Our history of…
Added 2 hours ago
Senior Associate, Finance Data Analytics & Insights - SLC Management
Sun Life
Toronto, ON · Sun Life Toronto One York
Full-time
…solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1400 organizations. Our history of…

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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