Lead Data Scientist AgenticAI

McKesson is an impact-driven Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights products and services that make quality care more accessible and affordable. Here we focus on the health happiness and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow make an impact and are empowered to bring new ideas. Together we thrive as we shape the future of health for patients our communities and our people. If you want to be part of tomorrows health today we want to hear from you.

Job Summary**

McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience on Generative AI development. This role will lead the design development and deployment of cutting-edge ML & GenAI solutions leveraging advanced machine learning techniques to solve complex healthcare challenges and drive business transformation.

Job Responsibilities**

• Lead the end-to-end lifecycle of Generative AI and agentic AI solutions including ideation research prototyping implementation evaluation deployment and production support.
• Architect and develop scalable GenAI systems such as LLM-based applications Retrieval-Augmented Generation (RAG) AI agents and intelligent automation workflows to improve decision-making operational efficiency and customer outcomes.
• Drive adoption of best practices in prompt engineering LLM evaluation fine-tuning strategies and secure model hosting where applicable.
• Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling forecasting classification anomaly detection recommendation systems NLP and GenAI-enabled analytics.
• Develop custom ML models and analytical frameworks tailored to complex healthcare and enterprise data challenges.
• Perform exploratory data analysis (EDA) feature engineering and statistical analysis to generate actionable insights and guide solution design.
• Collaborate with engineering and platform teams to deploy monitor and maintain ML and GenAI solutions in production environments using cloud-native and MLOps best practices.
• Establish model performance tracking drift detection reliability monitoring and continuous improvement processes for deployed models and AI agents.
• Ensure solutions are scalable cost-efficient resilient and aligned with enterprise architecture standards
• Ensure strong model governance documentation and auditability across all ML and GenAI solutions.
• Apply Responsible AI principles including explainability transparency data privacy security and regulatory compliance particularly within healthcare contexts.
• Provide guidance on safe compliant and ethical use of LLMs and agentic AI across enterprise use cases.
• Work closely with business stakeholders and product managers to translate requirements into clear analytical problem statements solution designs and execution roadmaps.
• Present technical solutions insights and progress updates to both technical and non-technical audiences including senior leadership.
• Mentor and guide junior data scientists and engineers fostering a culture of technical excellence innovation and continuous learning.

Job Qualifications**

• Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning Statistics Data Science or a related quantitative field.
• 710 years of experience in data science or advanced analytics with significant hands-on experience in Generative AI and LLM-based systems.
• Proven experience designing building and deploying production-grade ML and GenAI solutions including LLMs RAG architectures and AI-driven automation.
• Strong proficiency in Python and modern ML frameworks such as PyTorch TensorFlow and/or Hugging Face.
• Deep understanding of machine learning algorithms statistical modeling experimental design and data structures.
• Experience working with cloud platforms (Azure preferred; AWS/GCP acceptable) and MLOps practices.
• Ability to clearly communicate complex technical concepts to diverse business and technical audiences.
• Demonstrated leadership in driving projects influencing stakeholders and mentoring team members.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

$122100 - $162800

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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

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McKesson job postings are posted on our career site: .

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Required Experience:

Unclear Seniority

Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 122100 - 162800