Senior Data Scientist, AI Centre of Excellence

Ernst & Young Advisory Services Sdn Bhd; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global consultancy firm is seeking a Senior Data Scientist in Toronto to work within their AI Centre of Excellence. This role involves developing machine learning pipelines, integrating AI research, and collaborating with diverse teams. Ideal candidates have a graduate degree and 4-6 years of experience in AI/ML fields. The position promises comprehensive benefits and opportunities for career growth.

Benefits

Comprehensive medical, dental, and prescription coverage

Generous time off including vacation days

Employee Assistance Program

Qualifications

• 4-6 years of hands-on experience delivering impactful AI/ML solutions.
• Experience in enterprise or research settings required.
• Strong team orientation and effective communication skills.

Responsibilities

• Design and optimize machine learning pipelines.
• Implement and evaluate LLM solutions.
• Translate academic research into scalable AI solutions.

Skills

Python

Deep Learning (PyTorch, TensorFlow)

Data Wrangling

Feature Engineering

ML Lifecycle Management

Analytical Thinking

Education

PhD or Master’s degree in Data Science, Computer Science, AI, or ML

Tools

Azure ML

Job description

Location: Toronto

Other locations: Primary Location Only

Date: Sep 5, 2025

Requisition ID: 1641488

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Overview

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.

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 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 option to purchase extra vacation days. Employees can take advantage of EY's exclusive learning programs tailored just for them. We also provide internal opportunities for career development and advancement, enabling you to grow within the firm. Get involved in meaningful volunteering through EY Ripples and make a positive impact in the community.

Are you ready to shape your future with confidence? Apply today.

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Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Metis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

EY | Building a better working world

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Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

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