Senior Consultant - Responsible AI Data Scientist - Technology Risk - Assurance

EY US; Toronto; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading global professional services firm in Toronto is seeking a Senior Consultant in Responsible AI Data Science. The role involves delivering AI governance solutions, conducting assessments, and developing AI models for risk management. Candidates should have a minimum of 2 years' experience in data science, proficiency in Python, R, or SQL, and strong analytical skills. This position offers opportunities for career growth and is part of a diverse, inclusive team focused on excellence.

Benefits

Comprehensive medical coverage

Defined contribution pension plan

Generous vacation days

Qualifications

• Minimum of 2 years in data science or analytics.
• Proficiency in Python, R, or SQL.
• Hands-on experience with data manipulation libraries and machine learning frameworks.

Responsibilities

• Deliver AI governance and risk management solutions.
• Conduct Responsible AI assessments.
• Develop and evaluate AI models for risk insights.

Skills

Data analysis

Model development

Python

R

SQL

Data manipulation libraries

Machine learning frameworks

Data visualization

Education

Bachelor’s degree in Applied Mathematics, Statistics, Computer Science or Engineering

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Tableau

Power BI

Job description

At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

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.

The opportunity

EY continues to invest in our Responsible AI practice. We are seeking a Senior Consultant Responsible AI Data Scientist to join our growing Technology Risk Responsible AI team to help our clients integrate responsible AI considerations including fairness transparency reliability security and safety into their AI initiatives. You will assist engagement teams as well as work directly with clients in delivering AI governance and risk management solutions at scale evaluating the sufficiency of such framework related to AI model development testing and deployment to maximize efficiencies and minimize risk.

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

• Deliver AI governance and risk management solutions for Responsible AI initiatives and supervise junior team members while collaborating with data scientists, data engineers, risk and compliance professionals.
• Conduct Responsible AI assessments, staying current with risk governance, control frameworks, and ethical AI principles; advise on AI systems and policies for fairness, explainability, reliability and regulatory standards.
• Develop and evaluate AI models and data for risk and insight; build and deploy scalable models, evaluate performance, fairness and compliance, and surface trends, biases and risks.
• Research emerging AI topics and develop technical assessment approaches to support client engagements and evolving frameworks and methodologies.
• Lead data acquisition and preparation, overseeing ETL of large datasets to create high-quality data foundations for assessments and analytics.
• Engage with clients and provide advisory services; guide internal teams, mentor junior staff, and communicate insights to stakeholders; foster strong client relationships with compliant AI solutions.
• Prepare detailed client-facing reports assessing AI-related controls and decision systems; deliver practical data-driven recommendations to enhance fairness, transparency and efficiency.
• Contribute to service innovation and go-to-market efforts by refining Responsible AI offerings and developing materials for internal and external use.

Skills and attributes for success

• Professionalism and adaptability in diverse and evolving client environments.
• Self-motivation and teamwork, with the ability to work independently or as part of a team.
• Strong communication and presentation skills, both verbal and written.
• Experience coaching and mentoring junior staff on engagements.
• Problem-solving orientation with a collaborative, solution-focused mindset.

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.
• Proficiency in Python, R and/or SQL for data analysis and model development.
• Hands-on experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow).
• Experience building predictive models and performing statistical analysis, including 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 structured and unstructured data, including complex datasets.
• Bachelor’s degree (or higher) in Applied Mathematics, Statistics, Computer Science or Engineering; a master’s or PhD in a quantitative field is preferred.

Ideally you’ll also have (nice to have)

• Certification in AI ethics, data ethics and responsible AI (e.g., AI Ethics Certification, Microsoft Certified: Azure AI Engineer Associate, Google Professional Machine Learning Engineer, IAPP designation).
• Experience evaluating compliance with regulations and incorporating AI regulations and laws within engagements (e.g., DSA, EU AI Act, US AI guidelines).
• Familiarity with NIST AI Risk Management Framework and ISO/IEC 42001.
• Professional services or consulting experience.

What We Look For

We are looking for passionate professionals who want to understand the trends at the intersection of business, AI, data risk management, compliance and regulations. We want customer-focused individuals who can act as ambassadors for the Responsible AI team to exceed client expectations. You should be motivated to think creatively, take initiative, and expand our relationships and business in a changing market. If you’re serious about shaping the future with confidence and ready to tackle complex issues, this role is for you.

What We offer

At EY, our Total Rewards package supports a people-centric culture built on high-performance teamwork. We offer a competitive compensation package with performance-based rewards and a range of benefits designed to support your well-being and financial security.

Benefits include comprehensive medical, prescription drug and dental coverage; a defined contribution pension plan; generous vacation and paid personal days; statutory holidays; and programs supporting your physical, financial and social well-being, plus opportunities for coaching, learning, flexibility, and career development.

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We are committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We strive to combat systemic racism, advance gender equity, support 2SLGBTQIA+ inclusion, promote neuroinclusion and accessibility, and amplify Indigenous voices as part of our reconciliation efforts.

EY Building a better working world

EY exists to build a better working world by creating long-term value for clients, people and society and by building trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Required Experience: Senior IC