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Added 21 mins ago
Full Stack Engineer
ProxyLink
Toronto, ON
$100 to $105 USD / hour
Contract
Proxylink is working with a government client seeking an experienced Senior Full-Stack Developer to support the development, modernization, deployment, and maintenance of enterprise…
Added 23 mins ago
Senior Technical Team Lead, R&D
Piicomm Inc.
Plantagenet Station, ON
Full-time
Microsoft Azure experience is preferred. AWS cloud infrastructure experience is an asset (legacy infrastructure).
Added 38 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
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
Senior Power BI Developer
Robert Half
Calgary, AB
Full-time
We are seeking a mid-senior to senior-level Business Intelligence (BI) Developer to play a key role in advancing and scaling enterprise business intelligence capabilities. This position…
Added 1 hour ago
Senior Business Analyst
GlobalVariable
Toronto, ON
Contract
The Ministry is seeking the services of one (1) Senior Business Analyst, Level 3 to work as part of the Project Management & Program Delivery project team in collaboration with the core…
Added 1 hour ago
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
Full-time
experience working with cloud-based analytics platforms such as Microsoft Azure, Databricks and Power BI/Fabric
Added 2 hours ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
Support security assessment and enablement for platforms and frameworks such as Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Azure AI services, Enterprise Gemini, Cursor AI,…
Added 2 hours ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 2 hours ago
Senior Technology Resilience and Availability Management Analyst
TD
Toronto, ON
Full-time
Experience with cloud resilience capabilities in AWS, Microsoft Azure, and/or Google Cloud, including multi-region architecture, traffic management, native backup, and disaster recovery…
Added 2 hours ago
Senior Digital Specialized IT Consultant
iPartner Consulting
Toronto, ON
Contract
Strong experience with Microsoft Dynamics 365 CRM
Added 2 hours ago
Senior Account Executive
Synechron
Mississauga, ON
Full-time
Proven experience selling technology services - including staff augmentation, managed services, and fixed-price/project-based delivery models - to C-suite and senior executive buyers.
Added 2 hours ago
Ingénieur(e) réseau senior / Senior Network Engineer
XNRGY Climate Systems
Longueuil, QC
Full-time
Maîtrise de la configuration de réseaux virtuels au sein de plateformes infonuagiques majeures telles que Microsoft Azure et AWS.
Added 2 hours ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
This is not a traditional BI developer role. It is a senior, strategic position responsible for defining and guiding the enterprise‑wide architecture that supports data, analytics, AI/ML,…
Added 3 hours ago
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 3 hours ago
API Developer
Capgemini
Toronto, ON
Role Type: Senior Integration Architect / API Development Lead
Added 3 hours ago
Dynamics 365 Lead Developer
Staffmax Staffing & Recruiting
Montreal, QC
Full-time
We are looking for a Senior Microsoft Dynamics Developer/Lead with expertise in building enterprise-level applications using Microsoft Dynamics(Customer Service Module) and Power Apps. The…
Added 4 hours 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 4 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
Strong familiarity with cloud ecosystems such as AWS (S3, Lambda, Glue) or Microsoft Azure
Added 4 hours 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 5 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
Strong familiarity with cloud ecosystems such as AWS (S3, Lambda, Glue) or Microsoft Azure
Added 5 hours ago
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 5 hours ago
Senior Manager, Data Product Manager
Scotiabank
Toronto, ON
The Senior Manager – Data Product Manager leads the strategy, lifecycle and value realization of data products and shared data capabilities for International Banking. Reporting to the…
Added 5 hours ago
Specialized IT Consultant – Senior (MS Dynamics 365 CRM)
Bevertec
Toronto, ON
Contract
Job Role: Specialized IT Consultant – Senior (MS Dynamics 365 CRM)
Added 5 hours ago
Senior Analyst, Data Governance
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Proficiency in Microsoft tools (Excel, PowerPoint) and familiarity with Jira or Azure DevOps; working knowledge of SQL or Databricks is an asset

Lantern

Data Scientist

AB, Canada
Edmonton, AB, Canada

Job type: Full-time
Apply by: Mar 28, 2027
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 client discovery and develop predictive, generative, and agentic AI solutions, from data preparation and experimentation through deployment and monitoring. Collaborate with client and technical teams to deliver governed, explainable solutions, communicate results, drive adoption, and contribute to practice development and mentoring.

Requirements

Requires 5+ years of experience delivering data science, machine learning, or AI solutions, strong hands-on Azure Databricks experience, and advanced Python and SQL skills. Candidates should have expertise in statistical and machine learning methods, generative AI, MLOps or LLMOps, and the ability to communicate effectively with technical and executive stakeholders.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
MLOps
LLMOps
Feature Engineering
Model Evaluation
Data Governance
Azure OpenAI
Microsoft Fabric

Visa sponsorship

Not detected in the job text

Keywords

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

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