Data Science Immersion: AI & ML for Real-World Impact

McKinsey & Company, Inc.; Jakarta Pusat; Hybrid; IDR 89,280,000 - 133,920,000; Full time

Job summary

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.

Qualifications

• University students in computer science, engineering, mathematics, or equivalent experience with expected graduation date in 2026 or 2027.
• Experience applying machine learning and data mining techniques to real problems with copious amounts of data (internship or professional) is a plus.
• Programming in Python, SQL, and PySpark; ability to write and optimize code.
• Exposure to statistical analysis and modeling algorithms for data-driven solutions.
• Strong analytical, problem-solving, and communication skills; willing to travel; fluent English.

Responsibilities

• Apply math, stats and machine learning to derive insights across industries.
• Write highly optimized code and develop data science products for clients and teams.
• Apply ML methods to improve client performance and solve business problems.
• Develop prompt engineering strategies and RAG optimization where applicable in Generative AI projects.
• Collaborate with team members on data science code and problem solving; participate in stand-ups and client meetings.

Skills

Python programming

SQL

PySpark

Analytical thinking

English communication

Education

Computer science/Engineering/Math (or equivalent) student

Job description

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.