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Join a 12-week end-of-year Data Scientist Internship with QuantumBlack, AI by McKinsey. You will join interdisciplinary teams to develop analytics solutions, conduct exploratory data analyses, build and validate simple models, and explore LLM use cases, including RAG systems and visualizations to uncover insights from complex datasets. You will work closely with experienced data scientists, data engineers, and ML engineers, gaining hands-on experience translating business problems into technical tasks and delivering measurable client impact. The program emphasizes mentorship, structured feedback, and internal tool development to scale data science at McKinsey and QuantumBlack.
- Compensation
- Not specified
- City
- Cairo
- Country
- Egypt
Currency: Not specified
Full Job Description
Analytics
Data Scientist Intern - QuantumBlack, AI by McKinsey
Job ID: 105424
- Cairo
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Do you want to work on complex and pressing challengesthe kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, youve come to the right place.
Your Impact
As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients most pressing business challenges.
Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
Youll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
Youll also contribute to the teams internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale.
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 colleaguesat all levelswill 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 wont 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. Youll 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 firms diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youll 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 to enable holistic well-being for you and your family.
Your qualifications and skills
- Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence
- Availability for a full-time internship of 12 weeks
- Strong interest in applying machine learning and statistical analysis to solve real-world problems
- Foundational experience in Python (preferred) or R for data analysis and model prototyping
- Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
- Basic understanding of data wrangling, visualization, and exploratory analysis
- Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent
- Good analytical and problem-solving skills; ability to structure tasks and manage time effectively
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.
Industries
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- Automotive & Assembly
- Capital Projects & Infrastructure
- Chemicals
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- Electric Power & Natural Gas
- Financial Services
- Healthcare Systems & Services
- High Tech
- Industrials & Electronics
- Life Sciences
- Media & Entertainment
- Metals & Mining
- Oil & Gas
- Paper & Forest Products
- Private Capital
- Public Sector
- Retail
- Semiconductors
- Social Sector
- Telecommunications
- Travel, Transport & Logistics
Capabilities
- Operations
- Technology
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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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Job Skill Group - N/A
Job Skill Code - ECI - Intern
Function - Operations;Technology
Industry - Aerospace & Defense;Automotive & Assembly;Capital Projects & Infrastructure;Chemicals;Consumer Packaged Goods;Electric Power & Natural Gas;Financial Services;Healthcare Systems & Services;High Tech;Industrials & Electronics;Life Sciences;Media & Entertainment;Metals & Mining;Oil & Gas;Paper & Forest Products;Private Capital;Public Sector;Retail;Semiconductors;Social Sector;Telecommunications;Travel, Transport & Logistics
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Feb 04 00:00:00 GMT 2026
LinkedIn Posting City - Cairo
LinkedIn Posting State/Province -
LinkedIn Posting Country - Egypt
LinkedIn Job Title - Data Scientist Intern - QuantumBlack, AI by McKinsey
LinkedIn Function - Information Technology
LinkedIn Industry - Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Internship
Job Skill Code - ECI - Intern
Function - Operations;Technology
Industry - Aerospace & Defense;Automotive & Assembly;Capital Projects & Infrastructure;Chemicals;Consumer Packaged Goods;Electric Power & Natural Gas;Financial Services;Healthcare Systems & Services;High Tech;Industrials & Electronics;Life Sciences;Media & Entertainment;Metals & Mining;Oil & Gas;Paper & Forest Products;Private Capital;Public Sector;Retail;Semiconductors;Social Sector;Telecommunications;Travel, Transport & Logistics
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Feb 04 00:00:00 GMT 2026
LinkedIn Posting City - Cairo
LinkedIn Posting State/Province -
LinkedIn Posting Country - Egypt
LinkedIn Job Title - Data Scientist Intern - QuantumBlack, AI by McKinsey
LinkedIn Function - Information Technology
LinkedIn Industry - Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Internship
