QA

QuantumBlack, AI by McKinsey

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Intelligence. Beautifully Engineered.

Global

IT Services and IT Consulting
501–1,000 people

About

We are QuantumBlack, AI by McKinsey. We bring the power of Artificial Intelligence combined with the unique strengths of people, to create a new source of dynamic, competitive advantage we call hybrid intelligence. QuantumBlack was born and proven in Formula 1, where teams live and breathe data. Today, we are the Artificial Intelligence (AI) arm of McKinsey & Company. At QuantumBlack, you’ll tackle critical problems faced by the world’s leading organizations—and society—while collaborating with the brightest strategic, data science and engineering minds. In today’s competitive environment, organisations that respond faster to change, with better insight and greater precision, hold a sustainable advantage. At the same time, information has gone from scarce to superabundant, affording an unprecedented opportunity for them to do so. Effective decision-making is therefore increasingly underpinned by data processing and technology capabilities. QuantumBlack, AI by McKinsey 🔎 ⬇️ Follow and like posts that use the following hashtags, most relevant to you, to see more from our community: #QuantumBlack This is our general tag where you can discover all things QuantumBlack #AIbyMcKinsey This is where you can learn all about our insights, AI experimentation, and key tips that could help as you explore what AI can do for your business #LifeatQB Our colleagues use this tag for events, training, socials, and offers a glimpse inside our culture #QBCareers If you’re interested in joining QuantumBlack, be sure to keep an eye on this one. Our team will use it to let you know about upcoming events and new roles.

Open positions

Data Scientist II - QuantumBlack, AI by McKinsey

On-site · Toronto

Partner with clients and interdisciplinary teams to translate business needs into analytical approaches, explore data, and build, evaluate, and deploy machine learning and AI solutions. Optimize models and production systems, monitor performance and drift, communicate actionable findings, and contribute to research, internal tools, and client projects across industries.