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Added 41 mins ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
Added 41 mins ago
Principal, Infrastructure Architecture
RBC
Toronto, ON · Mississauga, ON
Full-time
…direction and leading the development and support of infrastructure solutions globally for all RBC businesses including, Technology and Operations, Insurance, Investor & Treasury Services,…
Added 55 mins ago
Senior Manager, Business Systems
Docker
Remote, Canada
Full-time · Remote
…Sales, Operations, Marketing, Customer Success, Finance, and Security…
Added 1 hour ago
Senior ServiceNow Developer
Symbiotic Digital
ON · Cornwall East, Ontario
Contract
solutions that meet business and operational requirements.
Added 1 hour ago
RDL Network Administrator
Celestica International LP
Toronto, ON
…Lab (RDL) networks. Reporting directly to the Lead Network Architect, you will be responsible for the run-and-maintain aspects of our isolated, air-gapped networks across multiple HPS…
Added 2 hours ago
Salesforce Solution Architect
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top performing asset managers? We are looking for a Salesforce Solution Architect for an existing vacancy in our IS department. Joining as the…
Added 2 hours ago
Salesforce Solution Architect
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada’s top performing asset managers? We are looking for a Salesforce Solution Architect for an existing vacancy in our IS department. Joining as the…
Added 2 hours ago
Principal Architect, Compute & Storage Infrastructure
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Collaborate with Security, Operations, Architecture, and other Platform Owners to ensure aligned, integrated platform solutions.
Added 2 hours ago
DevOps Engineer/Platform Engineer - Azure
Pet Valu
Markham, ON
Full-time
Reports to: Director, Security and Infrastructure, IT
Added 2 hours ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring,…
Added 2 hours 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 2 hours ago
AI Architect
J&M Group
Toronto, ON
Full-time
Architect scalable, cloud-native solutions to support onboarding of multiple MGA partners and lines of business.
Added 2 hours ago
Salesforce Technical Lead- Financial Services Cloud
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Lead architecture, design, and implementation of Salesforce Financial Services Cloud (FSC) solutions.
Added 2 hours ago
Senior Cloud Security Engineer (Golang & HashiCorp Vault)
J&M Group
Montreal, QC
Contract
We are hiring for a Senior Cloud Security Engineer (Golang & HashiCorp Vault). This role focuses on building secure, scalable cloud infrastructure and security solutions using Golang,…
Added 3 hours ago
Data Scientist
Lantern
AB · Edmonton, AB
Full-time
Databricks Solutions Architect Champion is highly preferred and considered a strong differentiator
Added 3 hours ago
Solutions Architect - Wealth Management
The Canada Life Assurance Company
London, ON · Toronto, ON · ON · Mississauga Ontario, ON
The Individual Wealth Technology team within Application Delivery, Canada and Lifeco, is seeking a Solutions Architect. This role is a match for you if you are passionate about Wealth and…
Added 3 hours ago
RDL Network Administrator
Celestica
Toronto, ON
Full-time
…Lab (RDL) networks. Reporting directly to the Lead Network Architect, you will be responsible for the run-and-maintain aspects of our isolated, air-gapped networks across multiple HPS…
Added 3 hours ago
Sr, Software Developer
IT Connex
Toronto, ON
Contract
…experience to design, implement, and support scalable ServiceNow solutions in a complex enterprise…
Added 3 hours ago
Architect
TechDoQuest
Toronto, ON
Contract
Architect and implement advanced data solutions using Snowflake on AWS, ensuring scalable, secure, and high-performance data environments.
Added 3 hours ago
Security Architect
Amyantek
Mississauga, ON
Contract
Security Architect with focus on IAM – this is the first Identity & Access Management (IAM) – Major priority. The organization is migrating from ADFS to a new platform, involving…
Added 4 hours ago
Principal Azure Databricks Architect
Hays
Toronto, ON
Contract
Design, architect, and implement enterprise-scale data lakes and Lakehouse solutions on Azure.
Added 4 hours ago
AI Architect
Galent
Toronto, ON
Contract
We are looking for a senior AI Architect to design an enterprise-scale AI-powered Bordereaux (BDX) processing framework for the Insurance/MGA business.
Added 4 hours ago
Data Architect: Snowflake
Yochana
Markham, ON
Full-time
Architect and implement advanced data solutions using Snowflake on AWS, ensuring scalable, secure, and high-performance data environments.
Added 4 hours ago
Head of Technology and AI
Aequilibrium Software Inc.
Remote, Canada
Full-time · Remote
…sound choices, improve how work gets done, and bring valuable solutions into production. You will help define where AEQ should lead, build the capabilities behind that direction, and create…
Added 4 hours ago
AI Architect
Cloudious LLC
Toronto, ON
Contract
Architect scalable, cloud-native solutions to support onboarding of multiple MGA partners and lines of business.

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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