AI and Data - Senior Consultant - Data Scientist

EY; Dieppe; Hybrid; CAD 85,000 - 120,000; Full time

Job summary

A global consulting firm is seeking a Senior Consultant in Data Science & ML Engineering to provide AI/ML solutions. The role involves collaboration with clients and developing analytics solutions. Candidates should have a Master's degree and 3+ years of experience in data science. Competitive salary range of $85,000 to $120,000, with flexible work options and comprehensive benefits.

Benefits

Medical, prescription drug and dental coverage

Defined contribution pension

Generous vacation policy

Qualifications

• 3+ years of experience with data science solutions.
• Proficiency in feature engineering and model tuning.
• Data Scientist certification preferred.

Responsibilities

• Identify and prioritize AI/ML use cases across industries.
• Build and monitor analytics solutions.
• Collaborate with clients for AI/ML solutions.

Skills

Proficiency with predictive modeling lifecycle

Experience building end-to-end data science solutions

Data governance knowledge

Experience with open-source AI/ML tools

Education

Masters degree in AI, Machine Learning or equivalent

Tools

Python

Spark

R

Job description

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

• Masters degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent
• 3+ years of experience building and deploying end-to-end data science and analytics solutions with business acumen
• Proficiency with the predictive modeling lifecycle, feature engineering, model development and tuning, validation, packaging, deployment, and performance monitoring
• Data Scientist certification, with Hadoop, Spark or equivalent production experience
• Experience with open-source AI/ML/Data Science tools (R, Python, Spark); experience with notebooks (Zeppelin, Jupyter) and data science workbenches (Azure, DSX)
• Experience with Spark-based ML (Spark SQL, MLlib, GraphX)
• Experience with Agentic AI solution deployments

Ideally, you’ll also have

• Data Science/AI certification on major platforms
• Experience with deep learning on CPUs/GPUs (ANN, CNN, RNN) with frameworks like PyTorch, TensorFlow/Keras, MXNet or equivalent

What We Look For

• Experience engaging with both technical and non-technical stakeholders
• Team management on Advanced Analytics, BI, Data Warehousing projects

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.

• Support and coaching from engaging colleagues
• Learning opportunities to develop new skills and progress your career
• Flexibility to handle your role in a way that works for you
• Salary range for this job in British Columbia: $85,000 to $120,000; individual salaries determined by factors including education, experience, knowledge, skills, and location

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