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Data Engineer Intern - QuantumBlack Immersion Program

at McKinsey & Company

InternshipNo visa sponsorshipData Engineering

Posted 13 hours ago

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Compensation: Not specified
City: Bangkok, Singapore
Country: Thailand, Indonesia, Singapore

Join the QuantumBlack Immersion Program as a Data Engineer Intern for an 8- to 10-week engagement with McKinsey. You will work in interdisciplinary teams of Data Scientists, Data Engineers, ML Engineers, Designers, and Software Engineers to translate business questions into analytical scope and define metrics. You will acquire, ingest, and process data from multiple sources, build data pipelines on Big Data platforms, perform feature engineering, and contribute to production-ready code—potentially including Generative AI engagements. The program places you in Singapore, Bangkok (Thailand), or Jakarta (Indonesia) and exposes you to client engagements across private, public, and social sectors.

Analytics

Data Engineer Intern - QuantumBlack Immersion Program

Job ID: 106676

Bangkok
Jakarta
Singapore City

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Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

The QuantumBlack, AI by McKinsey Immersion Program creates a great opportunity to assess your potential and provide 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 role will entail 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 to identify business hypotheses and metrics and have the opportunity to define and drive the analytical scope and method for projects, including formulating and shaping the models.

You will acquire, ingest, and process data from multiple sources and systems into Big Data platforms. You will work with clients to model their data landscapes and really understand what information is available to us. You will plan and execute feature engineering strategies using open-source technologies and distributed systems.

You will develop prompt engineering strategies, RAG optimization, etc., if involved in Generative AI engagements and deliver production-level code and work closely with our data scientists to scale our work and deliver impact for our clients. You will support the Quality Assurance process of our data pipelines, participating in team stand-up, client meetings and problem-solving sessions.

As part of QuantumBlack, AI by McKinsey you are capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact.

You are naturally enthusiastic and enjoy sharing your passion with others. You search for ways to improve things, believe in iterative change, 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 Singapore, Thailand or Indonesia and will be part of the QuantumBlack, AI by McKinsey Immersion Program for a duration of 8-10 weeks.

Your Growth

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.

When you join us, you will have:

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. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
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. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

University students in computer science, engineering, mathematics, or equivalent experience with expected graduation date in 2026 or 2027
Experience building data pipelines in a professional setting (for example, internship) would be considered a plus
Ability to write clean and maintainable code in an object-oriented language; specifically, Python, Good SQL knowledge for data manipulation
Familiarity with analytics libraries (e.g. pandas, numpy, matplotlib), distributed computing frameworks (e.g. Spark, Dask), and cloud platforms (e.g. AWS, Azure, GCP)
Interest in using data to solve a variety of business problems and working in cross-functional teams of experts
Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps will be beneficial
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
Strong command of the English language (both verbal and written)
Willingness to travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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.

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