Senior Data Scientist - Life Sciences.AI
mckinsey companyCharlotte (NC)
Senior Data Scientist - Life Sciences.AI
Posted today
mckinsey companyCharlotte (NC)
SENIORITY
Senior
About the role
Overview:
Senior data scientist within McKinsey's Life Sciences AI team, embedded with QuantumBlack, delivering AI-enabled transformations for Pharma and MedTech. You work across global teams to build production-ready analytics systems, mentor colleagues, and translate insights into impactful client outcomes. The role blends rigorous ML development with scalable, end-to-end solutions that modernize commercial engagement in life sciences. You’ll grow as a technologist and leader in a high-performance, learning-focused culture. Compensation / Benefits competitive salary comprehensive benefits package world-class benefits dynamic, learning-focused culture
Responsibilities:
Partner with global teams to build advanced analytics and agentic solutions for Life Sciences commercial use cases Transform pilots into production-ready systems shaping end-to-end workflows Develop and evaluate machine learning models and agentic outputs; write production-grade code Mentor junior colleagues and support stakeholders in turning analytics into insights Collaborate on multiple projects ensuring statistical rigor and reusable methodologies Explore new technologies and work with diverse experts to drive innovations Deliver real-world impact by empowering clients with real-time data insights Lead or contribute to data warehousing and ML discussions in client contexts
Key requirements:
5+ years deep technical ML experience strong programming in Python; libraries like pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras experience with GitHub and production-grade code familiarity with PySpark, SQL, Databricks, Kedro, Dask/RAPIDS cloud experience (AWS, GCP, Azure) and containerization (Docker, Kubernetes) excellent communication and client-facing skills travel willingness leadership experience (thought or people leadership) collaboration strong communication leadership Python PyTorch TensorFlow
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