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Added 19 days ago
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Applied Researcher 3 - Multimodal AI
eBay
Toronto, ON
- Full-time
Proficiency in Python and modern ML/data frameworks such as PyTorch, TensorFlow, and Spark, with fluency in agentic coding and AI-assisted development workflows.
Added 19 days ago
E
Applied Researcher 2 - Multimodal AI
eBay
Toronto, ON
- Full-time
Proficiency in Python and modern ML/data frameworks such as PyTorch and TensorFlow, with fluency in agentic coding and AI-assisted development workflows.
Added 19 days ago
X
Process Integration Engineer
Xanadu
Toronto, ON
- Full-time
Experience with data analysis and related software, such as Python, GitHub, JMP, MATLAB, etc.
Added 19 days 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 19 days ago
Applied Scientist, Ring AI
Amazon
Toronto, ON
…that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed…
Added 19 days ago
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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 19 days ago
KC
Embedded Software Engineering Intern (January 2027) (4 months)
Kepler Communications Inc.
Toronto, ON
- $29.75 to $39 CAD / hour
- Volunteer
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 19 days 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
…annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension…
Added 19 days ago
D
Senior Data Platform Developer
Dialogue
Toronto, ON · Montreal, QC
- $105,000 to $135,000 CAD / year
We are looking for a Senior Data Platform Developer that is excited to design, build, and maintain our modern data platform. In this role, you will define and implement engineering best…
Added 19 days ago
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Architect
TechDoQuest
Toronto, ON
- Contract
Collaborate with cross-functional teams (data engineers, AI engineers, business, solution architects) to translate business requirements into technical solutions aligned with data strategy.
Added 19 days ago
PI
Cloud Platform Engineering Intern
People Inc.
AB · Greater Edmonton Metropolitan Area
- Full-time
…alongside Cloud Platform engineers to build tools that interact with infrastructure, collect and analyze operational data, validate configurations, and produce actionable…
Added 19 days ago
GX
Senior Analyst, Investment Operations
Global X Canada
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
Familiarity with Bloomberg AIM, AI tools, Python, VBA, Power BI, automation, or data management tools is considered an asset.
Added 19 days ago
Senior Software Engineer in Test
Okta
Toronto, ON
…work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with…
Added 19 days ago
SI
Director of Analytics Engineering
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Your strong strategic judgment is paired with enough proximity to the work to guide technical decisions credibly. You will connect analytics engineering investments to company priorities,…
Added 19 days ago
O
Senior Software Engineer in Test
Okta
Toronto, ON
- $118,000 to $162,000 CAD / year
- Full-time
…work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with…
Added 19 days ago
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Principal Azure Databricks Architect
Hays
Toronto, ON
- Contract
This role requires strong hands-on coding skills, architectural leadership, and the ability to work independently with business and technical stakeholders to deliver scalable, secure, and…
Added 19 days ago
E
Product Specialist, evertz.io
Evertz
Burlington, ON
- Full-time
Hands-on experience with scripting and automation (Python, Bash, or JavaScript)
Added 19 days ago
E
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…
Added 19 days ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
Our Mission is to advance our client-first philosophy by managing investor capital with the highest levels of professionalism and integrity. We are dedicated to capital preservation while…
Added 19 days ago
BO
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
- Full-time
…at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated…
Added 19 days ago
R
Technical Support Lead
Rogii
Calgary, AB
- Full-time
We're a dynamic team of tech enthusiasts who are not afraid to take risks and bring innovation to the forefront with our comprehensive software solutions. Here at ROGII, we’re all about…
Added 19 days ago
EB
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
Added 19 days ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
As part of the Reporting Platform team, you will be a key developer supporting a business-critical reporting ecosystem used across TBSM. The platform includes a large-scale SQL data…
Added 19 days ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
…resource person and coach for decision-making bodies. You interact with many stakeholders working in a wide range of fields to understand and communicate issues and influence…
Added 19 days ago
BS
Software Engineer
Bartech Staffing
Markham, ON
- $48 to $50 CAD / hour
- Contract
…are interested in an opportunity to get your foot in the door with leading company, we want to talk with…

Lantern

Data Scientist

AB, Canada
Edmonton, AB, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 29, 2026
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

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More about this job

Responsibilities

Lead client discovery and develop, evaluate, and operationalize predictive, generative, and agentic AI solutions using Azure Databricks and Microsoft technologies. Implement governed MLOps and LLMOps practices, communicate results to stakeholders, and drive adoption and measurable business outcomes.

Requirements

Requires 5+ years of experience delivering data science, machine learning, or AI solutions, strong Python, SQL, PySpark, and Azure Databricks skills, and a solid foundation in statistics and model development. Candidates should also have experience with generative AI, production operations and governance, and strong consulting and communication skills; relevant Databricks and Microsoft certifications are preferred.

Skills

Azure Databricks
Python
SQL
PySpark
Machine Learning
Generative AI
Agentic AI
MLOps
LLMOps
Feature Engineering
Statistical Analysis
Model Evaluation
Retrieval-Augmented Generation
Azure OpenAI
Microsoft Fabric
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

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

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