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McKinsey & Company, Inc. invites university students to join the QuantumBlack Immersion Program in Jakarta, Indonesia, for 8–10 weeks. You will work with interdisciplinary teams from data science to engineering, contributing to client projects, R&D activities, and internal product development.
You will learn under supportive leaders, gain practical ML experience, and develop world‑class data science capabilities while solving real business problems in a fast-paced environment.
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
The QuantumBlack, AI by McKinsey Immersion Program will create a great opportunity to assess your potential and provide you with the opportunity to understand if a career in technical consulting is something that you want to pursue after graduation from university. During the program, you will typically join a client engagement and can contribute to the development of one of our products or R&D project if the opportunity arises. The client engagement work can be across the private, public, and social sectors. You will be placed with teams and will play an active role in all aspects of the engagement. Your work will involve working in interdisciplinary teams consisting of Data Scientists, Data Engineers, Machine Learning Engineers, Designers, Software Engineers and McKinsey experts to solve problems by connecting real world business questions to machine learning methods. You will support our client services lead identify business hypotheses and metrics and help define and drive the analytical scope and method for projects, including formulating and shaping the models. Other responsibilities:
As part of QuantumBlack, AI by McKinsey you will be listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You will be working with the best interests of all colleagues and to achieve the best outcome for QuantumBlack, AI by McKinsey and our clients. You will search for ways to improve things, experiment with new approaches, learn and improve to move forward quickly. QuantumBlack, AI by McKinsey helps companies use data to drive decisions. We combine business experience, expertise in large‑scale data analysis and visualization, and advanced software engineering know‑how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualization solutions to make better decisions. You be based in Thailand or Indonesia and will be part of the QuantumBlack, AI by McKinsey Immersion Program for a duration of 8-10 weeks.
Driving lasting impact and building long‑term capabilities with our clients is not easy work. 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. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues - at all levels - will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.