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Added 11 mins ago
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Airbus Aircraft
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Full-time
Added 11 mins ago
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Up to $17.5 CAD / hour
Contract
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Added 26 mins ago
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Added 1 hour ago
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Added 1 hour ago
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$72,030 to $103,523 CAD / year
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AI COE - Senior Data Scientist

Toronto, ON, M5H 0B3, Canada

Apply by: Feb 21, 2027
Experience: Experience: 4–6 years of hands-on experience delivering impactful AI/ML solutions, ideally in enterprise or research settings.
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Summary

As a Senior Data Scientist, you will be an integral part of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. Reporting to the Lead Data Scientist, you will work at the forefront of advanced AI research and development, contributing to the design and integration of intelligent solutions across transformative projects. This position is ideal for those passionate about advancing the state of AI, building robust ML pipelines, and integrating research into enterprise-scale applications. You will play a key role in delivering impactful AI use cases, including large language model (LLM) applications, and help shape the future of artificial intelligence at EY.

Key Responsibilities

Develop & Deploy AI Solutions: Design, build, and optimize advanced machine learning pipelines for a variety of enterprise and research applications, leveraging best-in-class programming, frameworks, and cloud platforms.
LLM Application Engineering: Implement, fine-tune, and evaluate large language model (LLM) solutions for diverse use cases, including generative AI, natural language processing, and retrieval-augmented generation.
Research Integration: Translate cutting-edge academic research into practical, scalable AI solutions aligned with EY’s business objectives and innovation agenda.
Model Evaluation & ML Ops: Support the end-to-end model lifecycle from ideation, training, and validation through deployment and monitoring, applying ML Ops best practices for operational excellence.
Collaboration & Stakeholder Engagement: Work closely with data scientists, engineers, business stakeholders, and product teams to deliver robust, scalable, and ethical solutions.
Documentation & Communication: Clearly communicate technical results, methodologies, and insights to both technical and non-technical audiences; contribute to research publications and internal knowledge sharing.
Continuous Learning: Stay current with the latest advancements in AI/ML, tools, and frameworks; actively contribute to a culture of innovation and excellence within the AI COE.
Champion Responsible AI: Uphold EY’s standards for ethical, equitable, and transparent AI, ensuring compliance with legal and security guidelines.

Required Skills and Qualifications

Education: PhD or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning or a closely related field.
Experience: 4–6 years of hands-on experience delivering impactful AI/ML solutions, ideally in enterprise or research settings.
Technical Proficiency: Proficient with Python and deep learning frameworks (PyTorch and/or TensorFlow); expertise in data wrangling, feature engineering, and ML pipeline automation.
GenAI & LLM: Experience with large language model architectures, generative AI use cases, and model fine-tuning and deployment.
ML Ops & Cloud: Familiarity with ML lifecycle management, ML Ops concepts, and deployment on Azure ML or equivalent cloud platforms.
Collaboration: Strong team orientation with the ability to work effectively in diverse, cross-functional environments.
Communication: Excellent written and verbal communication skills; able to articulate complex technical concepts to diverse audiences and contribute to research outputs.
Problem-Solving: Analytical thinker with a track record of innovative solutions to complex technical challenges.

What working at EY offers

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

Support and coaching from some of the most engaging colleagues in the industry
Learning opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Make your mark. Apply today.

EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.

Range: 88K - 132K CAD

Apply About employer

More about this job

Responsibilities

You will design, build, and optimize advanced machine learning pipelines and large language model solutions for enterprise-scale applications. Additionally, you will collaborate with cross-functional teams to integrate research into practical AI solutions while upholding ethical and transparent standards.

Requirements

Candidates must hold a PhD or Master’s degree in a relevant field such as Data Science or Computer Science. You are required to have 4–6 years of hands-on experience with Python, deep learning frameworks, and ML Ops practices.

Skills

Python
PyTorch
TensorFlow
Machine learning
Deep learning
Large language models
Generative AI
Natural language processing
Retrieval-augmented generation
ML Ops
Azure ML
Feature engineering
Data wrangling
Cloud platforms
Model deployment
Analytical thinking

Benefits

Medical coverage
Prescription drug coverage
Dental coverage
Vacation policy
Paid personal days
Statutory holidays

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Science
Machine Learning
Python
PyTorch
TensorFlow
LLM
Generative AI
NLP
RAG
ML Ops
Azure ML
Cloud Computing
Feature Engineering
Data Wrangling
Artificial Intelligence
Research
Enterprise Solutions
Ethical AI
Model Lifecycle
Automation
Data Analysis
Software Engineering
Innovation
Consulting

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