EY Senior Consultant - Responsible AI Data Scientist 

Canada, Ontario, Toronto 

715616299

Creating confidence and trust in data and technology is becoming a greater societal concern with the exponential growth of emerging technologies, such as Artificial Intelligence (AI). Understanding risks arising from the implementation and use of technology is increasingly important to accelerating business performance and achieving sustainable growth. Our Responsible AI professionals leverage their diverse backgrounds and experience-based expertise to bridge such gaps, provide nuanced insights, independent advice and assurance to our clients over the design and operation of their internal controls over AI, the security of their AI systems, the delivery of AI usage, their relationships with third parties, and their management, stewardship and ability to exploit business critical data as a competitive advantage.

You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of risk management and the AI regulatory landscape while developing your skillset to keep up with the ever-growing demands on AI capabilities. This is a high growth area with plenty of opportunity to enhance your skillset and build your career.

Your Key Responsibilities:

As a Responsible AI Data Scientist Senior Consultant, you will deliver AI governance and risk management solutions, supervise junior team members, while working with a diverse team consisting of data scientists, data engineers, risk and compliance professionals. Specific responsibilities include:

• Conduct Responsible AI Assessments:
  Demonstrate deep expertise in Responsible AI, including risk governance, control frameworks, and ethical AI principles. Stay current with AI trends to guide data modeling and statistical analysis. Assess and advise on AI systems and policies, ensuring alignment with fairness, explainability, reliability, and regulatory standards. documentation.
• Develop and Evaluate AI Models and Data for Risk and Insight:
  Build and deploy scalable, customized statistical and machine learning models. Rigorously evaluate model performance, fairness, explainability, and compliance with internal standards and external regulatory frameworks. Examine complex datasets to surface trends, biases, and risks; provide actionable insights to improve model governance, reliability, and accountability.
• Conduct research on emerging AI topics and develop technical assessment approach:
  Monitor the development of AI technologies, research on emerging topics including model development, algorithmic risk mitigation, monitoring metrics, and evaluation method to provide the foundation of client engagement and assist with the continued evolution of frameworks and methodologies.
• Lead Data Acquisition and Preparation:
  Oversee the collection, extraction, transformation, and loading (ETL) of large datasets from structured and unstructured sources to create high-quality data foundations for Responsible AI assessments and advanced analytics.
• Client Engagement and Advisory:
  Lead client engagements on Responsible AI initiatives, including assessments and strategy development. Guide internal teams, mentor junior staff, and effectively communicate insights to stakeholders. Demonstrated success in fostering strong client relationships through collaborative, values-aligned, and compliant AI solutions.
• Reporting and Recommendations:
  Prepare detailed, client-facing reports assessing the adequacy and effectiveness of AI-related controls and decision systems. Deliver practical, data-driven recommendations to enhance fairness, transparency, and efficiency.
• Service Innovation and Go-to-Market Support:
  Contribute to the development, refinement of Responsible AI service offerings, and identify new opportunities to expand Responsible AI service engagements. Assist in creating go-to-market materials and thought leadership content for internal and external audiences.

Skills and attributes for success:

• Professionalism and Adaptability: Highly professional with the ability to work in diverse and evolving client environments. Flexible and quick to learn, leveraging skills in new situations.
• Self-Motivation and Team Collaboration: Self-starter with a passion for continuous improvement, demonstrating the ability to work independently or as part of a team.
• Communication and Presentation Skills: Excellent verbal and written communication skills, combined with strong presentation and facilitation abilities.
• Coaching and Mentoring: Experience in coaching and mentoring junior staff on engagements, fostering their professional development.
• Problem-Solving Orientation

To qualify for the role, you must have:

• Minimum of 2 years of hands-on experience in data science, analytics, model development, or applying data-driven insights in a professional or client-facing setting.
• Proficient in Python, R, and/or SQL for data analysis, model design and development.
• Hands-on experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow).
• Skilled in building predictive models, performing statistical analysis, and/or working with generative AI systems.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Understanding of database systems and data architecture, including SQL/NoSQL, data warehousing, and big data technologies (e.g., Hadoop, Spark).
• Ability to work with both structured and unstructured data, including complex datasets.
• Bachelor’s degree (or higher) in Applied Mathematics, Statistics, Computer Science, or Engineering. A master’s degree or Ph.D. in a quantitative field is preferred.
  

Ideally, you’ll also have (good to have):

• Certification in relevant areas such as AI ethics, data ethics, and responsible AI (e.g., AI Ethics Certification, Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or International Association of Privacy Professionals’ AIGP designation).
• Experience evaluating compliance with regulations and incorporating new AI regulations and laws within engagements, specifically the Digital Services Act (DSA), European Union AI Act, and US AI guidelines/laws.
• Familiarity with the National Institute of Standards and Technology AI Risk Management Framework and the ISO/IEC 42001 standard.
• Professional services or consulting experience.

What We offer

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 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

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.