AI and Data - Senior Consultant - Data Scientist

We are looking for a Senior Consultant, Data Science & ML Engineering who is passionate about driving data‑driven solutions for clients across multiple industries.

• Collaborate with clients to understand their needs and guide them toward building AI and Machine Learning solutions that deliver short‑term wins and identify long‑term opportunities for managed data science services.
• Build and deliver the roadmap to develop and implement AI/ML products with a team of data scientists, data engineers, and business‑focused product owners.
• Build, validate, deploy, monitor, and provide MLOps support for a set of AI/ML models and services for both internal POCs and client production initiatives.
• Leverage commercial and open‑source AI, Machine Learning, Big Data ecosystem tools, BI, visualization, and discovery tools to deliver advanced models and other Data Science solutions.
• Guide clients in selecting the Generative AI models and related services suitable for their needs.
• Assist with AI governance topics such as data residency, PII handling, and compliance with security, privacy, and data governance requirements.
• Proactively monitor and tune AI/ML model performance, manage champion/challenger models, and ensure optimal performance and resource utilization.
• Ensure all AI/ML models are properly packaged and documented for deployment and participate in client training and knowledge transfer as required.
• Leverage continuous integration, continuous deployment, and agile and Dev Ops tools such as Git, Jira, and Jenkins to deliver and support advanced Data Science and Big Data solutions.

• A Master’s degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering, or equivalent.
• 3+ years of extensive experience building and deploying end‑to‑end data science and analytics solutions in various industries with strong business acumen.
• Proficiency in the Predictive Modeling Lifecycle and best practices for feature engineering, model development, tuning, validation, packaging, and performance monitoring.
• Data Scientist certification, including Hadoop, Spark or equivalent production experience.
• Experience with open‑source AI/ML tools—R, Python, Spark—and working with notebooks (Zeppelin, Jupyter) and data science workbenches (Azure, DSX).
• Experience with Spark‑based machine learning, including Spark SQL, MLlib, Graph
  
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• Experience with agentic AI solution deployments.

• Data Science/AI certification on major platforms.
• Experience with deep learning on CPUs and GPUs (ANN, CNN, RNN, PyTorch, Tensor Flow/Keras, MXNet).

• Competitive compensation and a comprehensive benefits package.
• Opportunities for learning and career progression.
• Flexible work arrangements.
• Salary range in British Columbia: $85,000 to $120,000.

EY is an Equal Opportunity Employer. We celebrate diversity and are committed to inclusion.