Data Scientist II – QuantumBlack, AI by McKinsey (Critical Industries)

As a Data Scientist II, you will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries. You'll grow your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment. Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you'll help clients stay competitive, transform operations, and achieve lasting improvements. Day to day, you'll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will: Translate business questions into analytical approaches and select the right techniques for each problem, Conduct exploratory data analysis, Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you'll build production-grade RAG pipelines and assess LLM output quality / hallucinations, Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift, Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications, Build models which are accurate, explainable, and free from bias, Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks. Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

McKinsey & Company is a global management consulting firm that serves leading businesses, governments, non-governmental organizations, and not-for-profits. We help our clients make lasting improvements to their performance and realize their most important goals.