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Data Scientist Intern - QuantumBlack, AI by McKinsey

SummerNo visa sponsorship
McKinsey & Company logo

at McKinsey & Company

Consultancies

Posted 2 months ago

No clicks

Data Scientist Intern at QuantumBlack, AI by McKinsey focuses on developing advanced analytics models to solve core business problems and drive data-driven decision making. You will apply state-of-the-art modeling techniques, work across clients and operational processes to extract value from data, and shape data-driven strategies. The role involves hands-on experimentation with Python, PySpark, SQL, Databricks, Kedro, and cloud platforms (AWS, GCP, Azure) within a mentored, growth-focused environment. Summer internship for 2026, with learning and global collaboration.

Compensation
Not specified

Currency: Not specified

City
Madrid
Country
Spain

Full Job Description

Analytics

Data Scientist Intern - QuantumBlack, AI by McKinsey

Job ID: 101869
  • Madrid
Apply Now Apply Later


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

You will focus on the development of advanced analytics models to optimize underlying business problems.  
In this role, you'll help shape the future of what data-driven organizations look like, drive processes for extracting and use that data in creative ways. You will create new lines of thinking within an infinite number of clients and situations. You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data.
You will apply and advise on state-of-the-art advanced analytic and quantitative tools, modeling techniques to derive business insights, solve complex business problems and improve decisions. Additionally, you will review, support and advise on the day-to-day analytics requirements of clients key operational processes while continually improving the impact of these processes.
Our Tech Stack
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
Applications for Summer Internship 2026 are now open.

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, 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 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

  • Student in penultimate year of studies - graduating in 2027
  • Background in mathematics, statistics, physics, engineering
  • Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Ability to independently own and drive model development, balancing demands and deadlines.
  • Demonstrated aptitude for analytics.
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
  • Knowledge of other languages including Portuguese, German, French and Italian will be valued
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Strong communication skills, both verbal and written, in English and Spanish, with the ability to adjust your style to suit different seniorities and explain complex analytical concepts to people from other fields
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
  • 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
+ 21 More
Capabilities
  • Operations
  • Technology
+ 1 More
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.

share this job

Job Skill Group - CSS Associate Short Term
Job Skill Code - ECAI - Expert Consulting Analytics 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 - #LI-DNI
Posted to LinkedIn Date -
LinkedIn Posting City -
LinkedIn Posting State/Province -
LinkedIn Posting Country -
LinkedIn Job Title - Data Scientist Intern - QuantumBlack, AI by McKinsey
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LinkedIn Seniority Level -
Apply now

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.

Data Scientist Intern - QuantumBlack, AI by McKinsey

Compensation

Not specified

City: Madrid

Country: Spain

McKinsey & Company logo
Consultancies

2 months ago

No clicks

at McKinsey & Company

SummerNo visa sponsorship

Data Scientist Intern at QuantumBlack, AI by McKinsey focuses on developing advanced analytics models to solve core business problems and drive data-driven decision making. You will apply state-of-the-art modeling techniques, work across clients and operational processes to extract value from data, and shape data-driven strategies. The role involves hands-on experimentation with Python, PySpark, SQL, Databricks, Kedro, and cloud platforms (AWS, GCP, Azure) within a mentored, growth-focused environment. Summer internship for 2026, with learning and global collaboration.

Full Job Description

Analytics

Data Scientist Intern - QuantumBlack, AI by McKinsey

Job ID: 101869
  • Madrid
Apply Now Apply Later


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

You will focus on the development of advanced analytics models to optimize underlying business problems.  
In this role, you'll help shape the future of what data-driven organizations look like, drive processes for extracting and use that data in creative ways. You will create new lines of thinking within an infinite number of clients and situations. You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data.
You will apply and advise on state-of-the-art advanced analytic and quantitative tools, modeling techniques to derive business insights, solve complex business problems and improve decisions. Additionally, you will review, support and advise on the day-to-day analytics requirements of clients key operational processes while continually improving the impact of these processes.
Our Tech Stack
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
Applications for Summer Internship 2026 are now open.

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, 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 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

  • Student in penultimate year of studies - graduating in 2027
  • Background in mathematics, statistics, physics, engineering
  • Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Ability to independently own and drive model development, balancing demands and deadlines.
  • Demonstrated aptitude for analytics.
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
  • Knowledge of other languages including Portuguese, German, French and Italian will be valued
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Strong communication skills, both verbal and written, in English and Spanish, with the ability to adjust your style to suit different seniorities and explain complex analytical concepts to people from other fields
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
  • 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
+ 21 More
Capabilities
  • Operations
  • Technology
+ 1 More
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.

share this job

Job Skill Group - CSS Associate Short Term
Job Skill Code - ECAI - Expert Consulting Analytics 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 - #LI-DNI
Posted to LinkedIn Date -
LinkedIn Posting City -
LinkedIn Posting State/Province -
LinkedIn Posting Country -
LinkedIn Job Title - Data Scientist Intern - QuantumBlack, AI by McKinsey
LinkedIn Function -
LinkedIn Industry -
LinkedIn Seniority Level -

SIMILAR OPPORTUNITIES

No similar opportunities available at the moment.