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Expert Data Scientist - Generative AI
McKesson
Full-time
mississauga, peel region
Bio & Pharmacology & Health
Posted:
June 16, 2026
Location:
mississauga, peel region, Canada
Job Description
Join McKesson as an Expert Data Scientist focusing on Generative AI, where innovation meets healthcare. Lead ML development to create impactful AI solutions.
In this pivotal role, you will oversee the design and deployment of Generative AI and agentic solutions at McKesson Corporation. The ideal candidate will have a Master’s or Ph.D. and at least 7-10 years of substantial experience in data science, particularly in Generative AI systems. Engage with stakeholders to translate complex requirements into actionable solutions that drive business transformation.
Key Responsibilities:
• Oversee end-to-end process of Generative AI system development
• Create intelligent automation workflows to improve efficiency
• Ensure model governance and compliance with Responsible AI principles
• Perform EDA and statistical analysis for actionable insights
• Collaborate with engineering teams for production deployment
Requirements:
• Advanced degree in Computer Science or simil...
In this pivotal role, you will oversee the design and deployment of Generative AI and agentic solutions at McKesson Corporation. The ideal candidate will have a Master’s or Ph.D. and at least 7-10 years of substantial experience in data science, particularly in Generative AI systems. Engage with stakeholders to translate complex requirements into actionable solutions that drive business transformation.
Key Responsibilities:
• Oversee end-to-end process of Generative AI system development
• Create intelligent automation workflows to improve efficiency
• Ensure model governance and compliance with Responsible AI principles
• Perform EDA and statistical analysis for actionable insights
• Collaborate with engineering teams for production deployment
Requirements:
• Advanced degree in Computer Science or simil...
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Job Type:
Full-time
Location:
mississauga, Canada
Posted:
June 16, 2026
Deadline:
July 26, 2026