McKinsey is looking to solve complex client problems by developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. They aim to bring distinctive statistical, machine learning, and AI competency to these challenges and build McKinsey's scientific AI offering.
Requirements
- Proven experience applying machine learning techniques to solve business problems
- Proven experience in translating technical methods to non-technical stakeholders
- Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain)
- Experience with version control (GitHub)
- ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
- Ability to write production code and object-oriented programming
Responsibilities
- developing new internal knowledge
- building AI and machine learning models & pipelines
- supporting client discussions
- prototype development
- deploying directly with client delivery teams
- ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders
- write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment
Other
- Master’s or PhD degree with 3+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
- You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients.
