Consultancies

Data Scientist - QuantumBlack, AI by McKinsey

at McKinsey & Company

GraduateNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation: Not specified EUR
City: Milan
Country: Italy

Data Scientist at QuantumBlack will work in multi-disciplinary teams to harness the power of data and deliver real-world impact for organizations globally. You will tackle complex and diverse data challenges, developing high-quality data science solutions with a focus on advanced modeling and analytics. While collaborating with client teams and internal experts, you will present findings, provide actionable recommendations, and help ensure successful implementation of data-driven strategies. You will gain exposure to a variety of industries and apply best practices in data science, including responsible AI and scalable, secure solutions.

Analytics

Data Scientist - QuantumBlack, AI by McKinsey

Job ID: 103138

Milan

Apply Now Apply Later

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, you will work in multi-disciplinary teams to harness the power of data and deliver real-world impact for organizations globally. Your work will directly influence the recommendations our clients need to drive meaningful change and enhance their performance.

In this role, you will tackle complex and diverse data challenges, working with some of the world’s largest organizations. You will develop high-quality data science solutions and products, focusing on advanced modeling and analytics.

While collaborating with client teams and internal experts, you will present findings, provide actionable recommendations, and consult with stakeholders to ensure the successful implementation of data-driven strategies.

You will gain exposure to a variety of industries and sectors, building large-scale data and analytics solutions to address complex business problems. Along the way, you will learn and apply best practices in data science, including responsible AI usage, secure and sustainable development, and scalable solutions.

Working in a collaborative and multicultural environment, you will partner with data scientists, ML engineers, project managers, and business experts to deliver impactful solutions. You will also stay up to date with the latest advancements in data science tools and technologies, while participating in world-class learning programs to continuously enhance your skills.

You will solve real-world problems by analyzing and modeling complex datasets, transforming raw data into actionable insights. By developing and delivering data science solutions, you will ensure they are scalable, secure, and aligned with industry best practices. Collaborating closely with client teams and internal experts, you will design and implement data-driven strategies that address critical business challenges. Your ability to present findings and actionable recommendations to stakeholders will ensure clarity, impact, and alignment with their goals.

Staying informed about the latest trends in data science, you will contribute to the development of proprietary tools and methodologies, driving innovation and excellence. Working across various industries, you will gain valuable insights into diverse business challenges and uncover new applications for data science, broadening your expertise and delivering meaningful results.

We use a diverse range of tools and technologies, selecting the best fit for each task while considering client preferences. Commonly used tools include:

Programming and Machine Learning: Python (primary), SQL, R, TensorFlow, PyTorch and Spark
Data Engineering and Deployment: Docker, Kubernetes
Cloud Platforms: AWS, GCP, Azure
Proprietary Tools: Kedro, CausalNex, MLRun

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

Bachelor’s, Master’s, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or a related field
Up to 2 years of experience in programming or data science. (Note: Candidates with less experience but strong potential are encouraged to apply)
Statistical Knowledge: Strong foundation in statistics and data analysis is required. Familiarity with GenAI core concepts is a nice-to-have (e.g., LLMs, RAG architecture, embeddings, and prompt engineering techniques)
Proficiency in Python is a must. Experience with R, SQL, or Spark is highly valued. Familiarity with other tools such as, TensorFlow, PyTorch, or Hadoop is a plus. Familiarity with LLM tech-stack (e.g., Langchain, llamaindex) is also a plus
Proven ability to work effectively in team environments and with stakeholders at all levels
Familiarity with AWS, GCP, or Azure is a nice-to-have
Strong verbal and written communication skills in Italian. Proficiency in English is required; knowledge of additional languages (e.g., Portuguese, German, French, Spanish) is a plus

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
Electric Power & Natural Gas
Financial Services
Healthcare Systems & Services
High Tech
Industrials & Electronics
Media & Entertainment
Oil & Gas
Social Sector
Telecommunications
Travel, Transport & Logistics

+ 11 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 - N/A
Job Skill Code - JPA - Analyst
Function -
Industry - Aerospace & Defense;Automotive & Assembly;Electric Power & Natural Gas;Financial Services;Healthcare Systems & Services;High Tech;Industrials & Electronics;Media & Entertainment;Oil & Gas;Social Sector;Telecommunications;Travel, Transport & Logistics
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jun 23 00:00:00 GMT 2025
LinkedIn Posting City - Milan
LinkedIn Posting State/Province -
LinkedIn Posting Country - Italy
LinkedIn Job Title - Data Scientist - QuantumBlack, AI by McKinsey
LinkedIn Function - Consulting;Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services
LinkedIn Seniority Level - Entry level

Back to all Data Science / AI / ML jobs

Apply now

Consultancies