AI Intern - QuantumBlack, AI by McKinsey

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

As an AI Intern at QuantumBlack, you’ll join a multi-disciplinary team that uses data and artificial intelligence to create real-world impact for leading organizations around the world.

In this role, you will support both data science and data engineering activities, gaining hands-on experience across the full data and AI workflow. You’ll help explore and prepare datasets, support the development of scalable ML and GenAI models, and contribute to building data pipelines that enable advanced analytics. You will also gain visibility into the full lifecycle of AI and GenAI projects, from understanding the business problem to developing, validating, and deploying solutions.

Working closely with data scientists, data engineers, ML engineers, software engineers, and project managers, you will learn how to translate complex questions into analytical approaches, interpret results in a business context, and help teams drive meaningful impact across different industries.

Throughout your internship, you will

Assist in data exploration, preparation, modeling, and experimentation with GenAI techniques

Contribute to building and maintaining data pipelines and cloud-based environments

Apply Python, SQL, and modern data/ML tools such as PySpark, Databricks, Airflow, and Kedro

Present your work, receive continuous feedback, and grow your technical, analytical, and problem-solving skills

You will be part of our São Paulo office and collaborate with colleagues across QuantumBlack’s global network. From day one, you’ll be supported by mentors and a community that values curiosity, learning, and experimentation, giving you the space to ask questions, try new approaches, and develop both technically and professionally.

Please submit your CV in English

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, all while upholding our unwavering commitment to ethics and integrity. 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 to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Currently pursuing a bachelor’s degree in computer science, Engineering, Statistics, Mathematics, Physics, or a related field (expected graduation between December 2026 and July 2027)

Foundational knowledge in programming and data manipulation (e.g., Python and SQL)

Interest in both data science and data engineering, with basic exposure to topics such as statistics, machine learning, data modeling and data pipelines

Strong analytical thinking and problem-solving skills, with the ability to break down complex problems into structured steps

Curiosity to learn new tools and technologies in areas such as cloud computing, data processing frameworks (e.g., Spark), and modern ML techniques

Ability to work collaboratively in multi-disciplinary teams and communicate clearly with colleagues from technical and non-technical backgrounds

Ability to communicate ideas effectively, both verbally and in writing, in English and Portuguese

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.

Apply Now

Apply Later

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.

FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.

SHARE THIS JOB