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222 jobs found
15.07.2025
EY
EY SAP Data Lead - Senior Consultant Canada, Ontario, Toronto
Should be a self-starter with excellent verbal and written communication skills. Should be comfortable interfacing with a client on a daily basis. This role requires daily interaction with the client...
The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology...
Collaborate with our client stakeholders to understand use cases and key business processes that the AI solutions will support. Work closely with cross-functional teams, architects, engineers to translate requirements in...
Product Strategy and Vision : Develop and communicate a clear product vision and strategy for data warehousing and analytics, aligned with business objectives and customer requirements. Ability to align this...
Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers. Track the fast paced world of AI and...
Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness...
Define data flow from data generation or ingestion, through transformation and storage, to consumption for machine-learning models or analysis. Work to deeply understand the data needs of internal customers and...
Should be a self-starter with excellent verbal and written communication skills. Should be comfortable interfacing with a client on a daily basis. This role requires daily interaction with the client...
Data scientists are highly coveted professionals in Canada's tech industry. Crucial to any organization looking to succeed in the modern competitive environment, the data scientist role is to transform vast troves of data into meaningful insights. With an ability to interpret complex data sets and make predictions from it, data scientists are sought-after problem-solvers working across myriad business sectors.
The data scientist role in Canada is critical for businesses looking to optimize products, make well-informed decisions, and give clients a competitive advantage. Drawing on a diverse set of skills and knowledge including analytics, engineering, model implementation, and data visualization, data scientists leverage artificial intelligence (AI), machine learning, and predictive analytics to derive patterns, trends and insights. The role requires excellent communication skills to present their findings and solutions to upper management with clarity.
Beyond a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics or STEM, data scientists must have a track record of successful projects in analytics, programming and data management. Employing ExPoint’s job searching platform to identify the right candidate can provide employers with access to talents with demonstrated skills in creating critical data models and machine learning algorithms.
The range of skills for data scientists in Canada is vast and varied but highly coveted, especially for mid-level to senior roles. Organizations need experienced data scientists to guide complicated projects from end-to-end, with the ability to collaborate on multi-disciplinary initiatives. With ExPoint’s platform, employers can find the highly skilled data scientists to bring insight and value to their teams.