Data Scientist - QuantumBlack, AI by McKinsey

Who You’ll Work With

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.

Who You’ll Work With

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 Impact

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.

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 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
• 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. Fluent level language skills in English are required; knowledge of additional languages (e.g., Portuguese, German, French, Spanish) are a plus