AI & Data - Data Scientist

Ernst & Young Advisory Services Sdn Bhd; Calgary; Hybrid; CAD 85,000 - 120,000; Full time

Job summary

A leading consultancy firm in Canada is seeking a Senior Consultant specializing in Data Science and Machine Learning. You will be responsible for identifying AI use cases, overseeing the development and deployment of models, and guiding clients in AI governance. Candidates should have a Master's degree and extensive experience in data science solutions, alongside strong skills in Python, R, and Spark. The role offers a collaborative environment with extensive learning opportunities and competitive compensation.

Benefits

Comprehensive medical and dental coverage

Defined contribution pension plan

Generous vacation policy

Qualifications

• 3+ years of experience building and deploying end to end data science solutions.
• Proficiency in the Predictive Modeling Lifecycle and feature engineering.
• Data Scientist certification with experience in open-source tools.

Responsibilities

• Identify and prioritize use cases leveraging AI and Machine Learning.
• Build and deploy AI/ML models and monitor performance.
• Guide clients on selecting Generative AI models.

Skills

AI and Machine Learning

Data Science

Predictive Modeling

Stakeholder Engagement

Education

Masters degree in AI, Machine Learning or equivalent

Tools

Python

SAS

R

Spark

Job description

AI and Data - Senior Consultant - Data Scientist

Other locations: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

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.

Your key responsibilities

The role will be responsible for 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. The role will coach the data engineer and data science team to deliver service and develop solutions with business mindset.

What will you do?

• 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. Specific tools will include (but not limited to), full SAS stack, R, Python, Scala, Java, Spark SQL/ML/MLLib/GraphX, Data Science Notebooks and Workbenches, Azure Machine Learning, Tableau, Datameer, and other tools
• 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

To qualify for the role, you must have

• 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

Ideally, you’ll also have

• 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.

What we look for

• Experience in engaging with both technical and non‑technical stakeholders
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Business Intelligence projects

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

What we offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture – built on high‑performance teaming – where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It’s one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a 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), and a range of exciting programs and benefits designed to support your physical, financial and social well‑being. Plus, we offer:

• 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
• The salary range for this job in British Columbia is $85,000 to $120,000. Individual salaries within this range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and work location city.

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices 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, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because 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

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

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. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.