Senior Data Scientist: Life Sciences AI, Drive Real-World Impact

McKinsey & Company, Inc.

Atlanta (GA)

On-site

USD 176,000 - 180,000

Full time

12 days ago
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Benefits offered by this job

World-class benefits
Global community and growth

Job summary

McKinsey & Company seeks a Senior Data Scientist for its Life Sciences AI team, integrated with QuantumBlack. You will build AI to transform Pharma and MedTech, partnering with global teams to deploy production-ready analytics and agentic solutions across high-value use cases.

You will mentor colleagues, explore new technologies, and help clients modernize their commercial models with real-time insights. Strong Python and ML framework skills are essential.

Qualifications

  • Master’s or PhD in CS/ML/AI or related field with strong research background.
  • 5+ years deep technical ML experience including knowledge graphs, agents, and evaluation frameworks.
  • Proficient in Python and ML libraries (pandas, NumPy, matplotlib, scikit-learn, PyMC, PyTorch/TensorFlow/Keras).
  • Production-grade coding with GitHub version control.
  • Extensive stack: Python, PySpark, PyData, SQL, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, AWS/GCP/Azure.
  • Strong client-facing skills and ability to work in cross-functional teams.
  • Excellent time management and a track record of leadership or mentoring.
  • Strong presentation and communication skills; able to explain complex analytics clearly.
  • Willingness to travel; fluent English in written and spoken form.

Responsibilities

  • Partner with global teams to create advanced analytics and agentic solutions for Life Sciences.
  • Transform pilots into production-ready systems across commercial workflows.
  • Develop ML models, design agentic flows, evaluate outputs, and write optimized code.
  • Mentor junior colleagues and support senior stakeholders in translating analytics into insights.
  • Collaborate across diverse experts to deliver impactful innovations and real-world impact.
  • Help clients modernize commercial engagement models and derive real-time insights.

Skills

Python
Pandas
NumPy
scikit-learn
PyTorch
TensorFlow
LangChain
LangGraph
GitHub
SQL
Docker
Kubernetes
Databricks
Kedro

Education

Master’s or PhD in CS/ML/AI

Tools

Databricks
Kedro
Docker
Kubernetes
LangChain
LangGraph

Job description

McKinsey & Company seeks a Senior Data Scientist for its Life Sciences AI team, integrated with QuantumBlack. You will build AI to transform Pharma and MedTech, partnering with global teams to deploy production-ready analytics and agentic solutions across high-value use cases.

You will mentor colleagues, explore new technologies, and help clients modernize their commercial models with real-time insights. Strong Python and ML framework skills are essential.

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