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Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company

Software Engineering, Data Science

São Paulo, SP, Brazil

Posted on Dec 16, 2025

The McKinsey recruiting team will be celebrating the holidays and there will be no online application support available starting December 19th at 5:00pm New York time. Regular support will resume on January 5th. For commonly asked questions, please refer to our FAQ page: https://www.mckinsey.com/careers/application-faq. Thank you, and happy holidays!

Consulting

Data Scientist - QuantumBlack, AI by McKinsey

Job ID: 104043

Sao Paulo

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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

As a Data Scientist at QuantumBlack in Brazil, you will partner with some of the world’s leading organizations to tackle their most critical challenges using data.

From data owners and end users to C-level executives, you will work closely with clients to understand their needs and design impactful analytics solutions that drive performance.

You will be a key contributor in cross-functional problem-solving sessions, translating complex business questions into analytical problems and building models that address them—ensuring those models are evaluated with relevant, actionable metrics.

You will help shape the development of our internal Data Science Toolbox, writing highly optimized code and supporting the delivery of innovative, scalable solutions.

You will also:

Present your work to colleagues and clients, communicating insights in a clear and compelling way
Write and present papers at internal and external conferences (such as NeurIPS and ICML), if you choose to
Join global retrospectives and R&D initiatives, learning and sharing alongside experts across QuantumBlack
Collaborate with interdisciplinary teams that bring together data science, engineering, design, and business expertise

Our projects range from accelerating clinical research to improving urban air quality or enhancing elite sport performance - always focused on creating real-world impact.

You will be based in Sao Paulo and collaborate with data scientists, engineers, machine learning specialists, designers, and product managers from around the world.

Together, you will work across sectors - such as healthcare, automotive, energy, finance, and more - to apply mathematical, statistical, and machine learning approaches to real-world data.

At QuantumBlack, your growth is continuous and personalized.

You will benefit from:

Diverse projects and clients, giving you international exposure and unique challenges
Cutting-edge tools and technologies, enabling you to sharpen your skills in modern data science workflows
Tailored learning and mentorship, including training programs, technical deep dives, and global knowledge-sharing
Career path flexibility, with opportunities to explore new domains or geographies as you grow

A strong sense of community, connecting with colleagues through meetups, workshops, and events across the QuantumBlack and McKinsey networks.

Here, you won’t just build solutions - you’ll help shape how we define excellence in data science.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

University degree with a strong academic record; master’s in computer science, applied statistics, mathematics, artificial intelligence, or related field preferred
2+ years of experience applying machine learning and data mining techniques to large, real-world datasets
Strong background in computer science, engineering, statistics, mathematics, physics, or similar
Ability to lead and drive model development independently, balancing quality and deadlines
Proven track record in prototyping and applying advanced analytical and statistical methods
Proficiency in Python and at least one additional language (e.g., R, Scala, SQL)
Experience working with relational databases (SQL) and large datasets
Experience in the real-world application of machine learning methods and algorithms
Ability to communicate ideas most 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.

Industries

High Tech

Capabilities

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.

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.

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