AI and Data - Senior Consultant - Data Scientist

Overview

At EY, we’re shaping futures with confidence by helping you succeed in a globally connected, diverse environment. Join EY to help build a better working world. We are seeking a Senior Consultant, Data Science & ML Engineering to work on an expanding set of Managed Data Science and Agentic AI Services across multiple industries.

You will help industry clients navigate the complex world of modern data science and AI, providing a business-focused perspective on how data science and AI can transform their organization. This is a high-growth, high-visibility area with opportunities to enhance your skillset and career.

Responsibilities

• Proactively identify and prioritize use cases across value chains and industries, leveraging AI and machine learning techniques
• Build, validate, deploy, and monitor advanced descriptive, predictive, and prescriptive analytics solutions
• Coach the data engineer and data science team to deliver services and develop solutions with a business mindset
• Collaborate with clients to understand needs and guide them toward AI / ML solutions delivering short-term wins and long-term opportunities for managed data science services
• Develop and implement roadmaps for AI / ML products with a team of data scientists, data engineers, and product owners
• Build, validate, deploy, monitor, and provide MLOps support for AI / ML models and services for internal POCs and client production initiatives
• Utilize commercial and open-source AI / ML, Big Data, BI, visualization, and discovery tools to deliver models and solutions (tools may include SAS, R, Python, Scala, Java, Spark, notebooks / workbenches, Azure ML, Tableau, Datameer, etc.)
• Guide clients in selecting Generative AI models and related services
• Assist with AI governance topics (e.g., data residency, PII handling)
• Monitor and tune model performance; manage champion / challenger models for optimal performance and resource use
• Ensure models are packaged and documented for deployment; participate in client training and knowledge transfer
• Ensure solutions comply with security, privacy, and data governance requirements per EY and client guidelines, including data anonymization and encryption
• Leverage CI / CD and DevOps practices to deliver and support advanced data science and big data solutions (e.g., Git, Jira, Jenkins)

Qualifications

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What We Look For

We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in Data Science and Big Data. If you have a genuine passion for helping businesses unleash the full potential of their data, this role is for you.

What We Offer

EY’s Total Rewards package supports a high-performance culture where everyone can achieve their potential and contribute to building a better working world for our people, clients, and communities. We offer a competitive compensation package tied to performance, and a range of benefits designed to support your well-being. The package includes medical, prescription drug and dental coverage, a defined contribution pension, generous vacation policy, firm-paid days for long weekends, statutory holidays, and personal days (based on province of residence), plus additional programs and benefits.

Diversity and Inclusion at EY

Diversity and inclusiveness are central to EY. We foster an environment where differences are valued, policies are equitable, and our people feel a sense of belonging. We embrace diversity, champion gender equity and women in leadership, support the 2SLGBTQIA+ community, promote neuroinclusion and accessibility, and amplify Indigenous voices (First Nations, Inuit, and Métis) nationally as we work toward reconciliation. Our diverse experiences and perspectives help guide our people and our work.

EY | Building a better working world

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