AI and Data - Senior Consultant - Data Scientist

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

Job summary

A global professional services firm in Winnipeg is seeking a Senior Consultant in Data Science and ML Engineering. The role involves identifying AI use cases, building and deploying data science solutions, and collaborating with clients. Ideal candidates will have a Master's degree and 3+ years of relevant experience. Competitive compensation and benefits available.

Benefits

Competitive compensation

Learning opportunities

Flexibility in role

Qualifications

• 3+ years of experience building and deploying data science solutions.
• Proficiency in predictive modeling and feature engineering.
• Experience with Spark-based machine learning.

Responsibilities

• Identify and prioritize AI use cases across industries.
• Build and deliver AI/ML product roadmaps.
• Monitor and tune AI/ML model performance.

Skills

AI and ML techniques

Data Science solutions

Client collaboration

Predictive modeling lifecycle

Feature engineering

Team management

Education

Master's degree in AI, ML, Statistics, or related fields

Tools

Python

Spark

Azure Machine Learning

SAS

R

Job description

Overview

AI and Data - Senior Consultant - Data Scientist at EY. We’re shaping your future with confidence. EY is a globally connected powerhouse of diverse teams. Join EY and help build a better working world. The opportunity: We are seeking a Senior Consultant, Data Science & ML Engineering to join our Data & Analytics journey and to contribute to 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 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 opportunities to enhance your skillset and build your career.

Your Key Responsibilities

The role will proactively identify and prioritize use cases across value chains across industries leveraging AI and Machine Learning techniques, building, validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive analytics solutions. The role will coach the data engineer and data science team to deliver service and develop solutions with a business mindset.

• Collaborate with clients to understand their needs and guide them toward building AI and ML solutions delivering both short-term wins and long-term opportunities for managed data science services
• Build and deliver roadmaps 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 AI / ML models and services for both internal POCs and client production initiatives
• Leverage commercial and open-source AI, ML and Big Data tools, BI, visualization and discovery tools to deliver advanced models and other data science solutions with the team. Tools include SAS, R, Python, Scala, Java, Spark SQL / ML / MLLib / GraphX, notebooks / workbenches, Azure Machine Learning, Tableau, Datameer, and other tools
• Guide clients in selecting Generative AI models and related services suitable for their needs
• Assist with AI governance topics such as data residency and PII handling
• Proactively monitor and tune AI / ML model performance, manage champion / challenger models to ensure optimal performance and resource utilization
• Ensure all AI / ML 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, including data anonymization, encryption, and security in transit and at rest
• Effectively leverage CI / CD and DevOps tools and processes to deliver and support advanced data science and big data solutions and services, including Git, Jira, Jenkins and others

Qualifications

• A master\'s degree in AI, ML, Statistics, Economics / Econometrics, Computer Science, Engineering or equivalent
• 3+ years of 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 (hyperparameters, ensemble techniques, deep learning), model validation, deployment packaging, model management and performance monitoring
• Data Science certification, including Hadoop, Spark or equivalent production experience
• Experience with open-source AI / ML / Data Science tools – R, Python, Spark; 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

Desirable

• 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

What We Look For

• Experience engaging with both technical and non-technical stakeholders
• Team management on advanced analytics, business intelligence, data warehousing and BI projects

What We Offer

EY’s Total Rewards package supports a commitment to creating a leading people culture—high-performance teamwork where everyone can reach their potential and contribute to building a better working world. It includes competitive compensation based on performance and a range of benefits to support your well-being. The salary range for this job in British Columbia is $85,000 to $120,000, with individual salaries determined by factors including education, experience, knowledge, skills and location.

• 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’s right for you

Diversity and Inclusion at EY

Diversity and inclusion are at the heart of who we are. We’re committed to fostering an environment where differences are valued, policies are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, supporting the 2SLGBTQIA+ community, promoting neuroinclusion and accessibility initiatives, and amplifying Indigenous voices (First Nations, Inuit and Métis) nationally as we strive toward reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. When people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

EY — Building a better working world

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, and can provide services in more than 150 countries and territories.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Professional Services

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