Data Scientist II, QuantumBlack AI

## About the Role Collaborate with clients and cross-functional teams to develop advanced analytics and AI solutions across industries at QuantumBlack, McKinsey's AI arm. Translate business problems into analytical approaches, build production-grade ML models from traditional ML to LLMs, deploy via APIs and batch pipelines, and optimize inference latency. Requires Bachelor's + 2 years or Master's/PhD. ## Responsibilities - Develop advanced analytics and AI solutions for clients - Translate business problems into analytical approaches - Build production-grade ML models (traditional ML to LLMs) - Deploy models via APIs and batch pipelines - Optimize inference latency and model performance ## Requirements - Bachelor's + 2 years professional experience, or Master's/PhD in CS, math, statistics, or engineering - Proficiency in Python, SQL, PySpark/Spark - Experience with ML/data mining and deep learning - Familiarity with LLMs, RAG pipelines - Experience with Docker/Kubernetes and cloud platforms (AWS/GCP/Azure)