Principal Data Scientist, Scientific AI – Life Sciences

McKinsey; Raleigh (NC); On-site; USD 214,000 - 218,000; Full time

Job summary

McKinsey in the United States is seeking a Principal Data Scientist to help build and shape the firm’s Scientific AI offering. You will develop advanced AI/ML models and pipelines, lead cross-disciplinary teams, and contribute to client discussions with rigorous analytical outputs.

You will mentor junior colleagues, drive end-to-end ownership of research workstreams, and translate results into strategic recommendations for clients and senior leaders.

Qualifications

• Master's degree with 8+ years or PhD with 7+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research.
• Domain knowledge in the Life Sciences Industry.
• Experience leading teams and applying ML techniques to business problems.

Responsibilities

• Tackle complex data challenges, develop advanced models, and create impactful solutions to optimize client performance.
• Mentor others and collaborate with world-class talent in a dynamic environment that fosters innovation and growth.
• Develop internal knowledge, build AI/ML models & pipelines, support client discussions, prototype development, and deploy with client delivery teams.
• Translate technical outputs into actionable recommendations for senior leaders and present findings to executives.

Skills

Team leadership

Communication

Presentation

Time management

Cross-functional collaboration

Education

Master's degree in Statistics/Mathematics/Computer Science

PhD in a relevant field

Domain knowledge in Life Sciences

Tools

Python

GitHub

Pandas

NumPy

Matplotlib

Scikit-learn

PyTorch

TensorFlow

Keras

LangChain

Job description

McKinsey in the United States is seeking a Principal Data Scientist to help build and shape the firm’s Scientific AI offering. You will develop advanced AI/ML models and pipelines, lead cross-disciplinary teams, and contribute to client discussions with rigorous analytical outputs.

You will mentor junior colleagues, drive end-to-end ownership of research workstreams, and translate results into strategic recommendations for clients and senior leaders.