Data Scientist, AI Centre of Excellence
EY
Date: 2 weeks ago
City: Toronto, ON
Contract type: Full time
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.
The opportunity
As a Data Scientist, you will be a valued member of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. You will work closely with senior team members to support advanced AI research and development, contributing to the construction and integration of intelligent solutions across transformative projects. This role is ideal for individuals eager to start their careers in AI and machine learning, build robust ML pipelines, and apply cutting-edge research in enterprise-scale applications. You will help deliver impactful AI use cases, including large language model (LLM) applications, and play a part in shaping the future of artificial intelligence at EY.
Your Key Responsibilities
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.
Learn about our commitment to DE&I at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any accommodations you may need.
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 Métis) 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
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
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.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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.
The opportunity
As a Data Scientist, you will be a valued member of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. You will work closely with senior team members to support advanced AI research and development, contributing to the construction and integration of intelligent solutions across transformative projects. This role is ideal for individuals eager to start their careers in AI and machine learning, build robust ML pipelines, and apply cutting-edge research in enterprise-scale applications. You will help deliver impactful AI use cases, including large language model (LLM) applications, and play a part in shaping the future of artificial intelligence at EY.
Your Key Responsibilities
- Develop & Deploy AI Solutions: Assist in designing, building, and optimizing machine learning pipelines for a range of enterprise and research applications, leveraging Python, PyTorch/TensorFlow, and cloud platforms under guidance from senior staff.
- AI Model Implementation: Support the implementation, fine-tuning, and evaluation of AI models, including large language model (LLM) solutions for use cases in generative AI and natural language processing.
- Model Evaluation & ML Ops: Contribute to the end-to-end model lifecycle, from ideation and training to validation, deployment, and monitoring, while learning ML Ops best practices for operational excellence.
- Collaboration & Stakeholder Engagement: Work closely with data scientists, engineers, and business stakeholders to deliver scalable and ethical solutions as part of a cross-functional team.
- Documentation & Communication: Clearly document technical results, methodologies, and insights; communicate findings to both technical and non-technical audiences.
- Continuous Learning: Proactively 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: Support EY’s standards for ethical, equitable, and transparent AI, ensuring compliance with legal and security guidelines.
- Education: Bachelor’s in Computer Science, Data Science, Statistics, Artificial Intelligence, Machine Learning, or a closely related field.
- Experience: 1–3 years of hands-on experience delivering AI/ML solutions in academic, research, or enterprise settings.
- Technical Proficiency: Proficient in Python programming and familiar with deep learning frameworks such as PyTorch and/or TensorFlow; strong skills in data wrangling, feature engineering, and ML pipeline construction and 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.
- AI Model Deployment: Exposure to deploying models on cloud platforms (e.g., Azure ML or similar).
- Collaboration: Proven ability to work effectively in team-based, cross-functional environments.
- Communication: Strong written and verbal communication skills; ability to articulate technical concepts to diverse audiences and contribute to internal knowledge sharing.
- Problem-Solving: Analytical thinker passionate about finding innovative solutions to technical challenges.
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.
Learn about our commitment to DE&I at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any accommodations you may need.
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 Métis) 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
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
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.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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