The opportunity
As a Lead Data Scientist of the AI Centre of Excellence at the Office of the CTO, you will play a pivotal role in shaping the future of artificial intelligence at EY Canada. In this position, you will guide the AI strategy, lead the design and implementation of advanced AI models, and drive innovation across transformative projects. Your leadership will directly influence real-world deployment of cutting-edge solutions in areas such as AI, generative AI and natural language processing, and other emerging technologies.
If you are passionate about advancing the frontiers of AI, have a proven record of groundbreaking research and impactful innovation, and thrive in a collaborative environment, we invite you to help build the next era of intelligent solutions with us
Your key responsibilities
Define and execute the overarching AI strategy in alignment with EY’s business goals, collaborating with cross-functional leaders and technology stakeholders.
Inspire and lead a team of data scientists and engineers, fostering collaboration and innovation. Drive the vision for AI initiatives and ensure alignment with organizational
Architect, evaluate, and refine complex models, including transformers, LLMs (Large Language Models), and retrieval-augmented generation (RAG) solutions for diverse enterprise use cases.
Drive long-range planning for AI capabilities, champion emerging technologies, and identify opportunities for disruptive innovation in AI/ML applications across business verticals.
Publish and drive high-impact research papers and thought leadership in journals and conferences; represent EY at industry forums.
Lead end-to-end model lifecycle management, from ideation and training to deployment and monitoring, leveraging ML Ops best practices and Azure ML.
Collaboration:
Partner with business, engineering, and product teams to translate visionary AI concepts into robust, scalable solutions delivering measurable value.
Ensure AI systems adhere to ethical, legal, and security guidelines; promote equity, transparency, and accessibility in all initiatives.
Skills and attributes for success
PhD or Master’s degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or a closely related field.
7–10 years of progressive experience delivering impactful AI/ML solutions, with a proven track record in architecting and scaling NLP, AI and GenAI systems.
Deep expertise with generative AI models, transformer architectures, LLM fine-tuning, and deployment of RAG pipelines.
Hands-on experience with ML lifecycle management, ML Ops frameworks, and Azure ML (or equivalent cloud ML platforms).
Strong programming skills (Python or similar), deep learning frameworks (PyTorch, Tensor Flow, Hugging Face), and data engineering for large-scale modeling.
Proven ability to publish research, file patents, or contribute thought leadership in AI/ML.
Demonstrated success in leading AI initiatives, developing technical roadmaps, and inspiring high-performance teams.
Exceptional written and verbal communication skills with the ability to articulate complex AI concepts to technical and non-technical audiences.
Passion for building equitable, accessible, and responsible AI systems; ability to work in diverse, inclusive teams.
What we offer
The EY benefits package is designed to support your physical, emotional, financial, and social wellbeing. Our extensive benefits include comprehensive medical, dental, and prescription drug coverage, as well as mental health benefits, a robust Employee Assistance Program and group savings plans to promote your overall wellbeing. We offer generous time off, including personal days, vacation days, and additional firm-wide holidays, along with the…
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