AI and Data - Senior Consultant - Data Scientist

EY • Edmonton, AB

24d • CA$85,000 - CA$120,000 • Onsite

About The Position

We are seeking a Senior Consultant, Data Science & ML Engineering. We are seeking passionate, entrepreneurial individuals to join us on an exciting Data & Analytics journey and building 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. We’ll look to you to provide our clients with a unique business perspective on how data science and AI can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Requirements

• A Masters 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 business acumen
• Proficiency and understanding of the Predictive Modeling Lifecycle and best practices for feature engineering, model development and tuning (hyper-parameter, ensemble modeling techniques, deep learning), model validation, model deployment packaging, model management and performance monitoring
• Data Scientist certification, including Hadoop, Spark or equivalent production experience
• Experience with Open-source AI / Machine Learning / Data Science tools – R, Python, Spark. Including experience working with Notebooks (Zeppelin, Jupyter) and Data Science Workbenches (Azure, DSX)
• Experience with Spark-based machine learning, including Spark SQL, ML, MlLib, GraphX
• Experience with Agentic AI solution deployments
• Experience in engaging with both technical and non-technical stakeholders
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Business Intelligence projects

Nice To Haves

• Data Science / AI certification on major platforms
• Experience with Deep Learning on CPUs and GPUs, including ANN, CNN, RNN frameworks like PyTorch, TensorFlow/Keras, MXNet or equivalent would be an asset.

Responsibilities

• Proactively identifying and prioritizing use cases across value chains across industries leveraging AI and Machine Learning techniques, building, and validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive advanced analytics solutions.
• Coaching the data engineer and data science team to deliver service and develop solutions with business mindset.
• Collaborate with to understand clients’ needs and guide them towards building AI and Machine Learning solutions delivering both short-term wins and identifying long-term opportunities for managed data science services.
• Build/deliver the roadmap to develop/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/Machine Learning 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 tool to deliver advanced models and other Data Science solutions with the team.
• Guide the clients in selecting the Generative AI models and related services suitable for their needs.
• Assist with AI Governance related topics such as Data residency, PII handling etc.
• Proactively monitor and tune AI / Machine Learning model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
• Ensure all AI/Machine Learning models are properly packaged and documented for deployment.
• Participate in client training and knowledge transfer as required.
• Ensure all solutions comply with the highest levels of security, privacy and data governance requirements as outlined by EY and Client legal and information security guidelines, law enforcement, and privacy legislation, including data anonymization, encryption, and security in transit and at rest and others as applicable.
• Effectively leverage continuous integration, continuous development and continuous deployment agile and DevOps tools and processes to deliver and support advanced Data Science and Big Data solutions and services, including Git, Jira, Jenkins and others as required.

Benefits

• 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)
• A range of exciting programs and benefits designed to support your physical, financial and social well-being
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior