Senior Data Scientist, AI Centre of Excellence

Senior Data Scientist, AI Centre of Excellence
4 days ago Be among the first 25 applicants

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The opportunity

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.

Your

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.

Skills And Attributes For Success

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 Tensor Flow); 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 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…