Senior Data Scientist I - QuantumBlack, AI by McKinsey

McKinsey & Company, Inc.; Lisboa; Presencial; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive benefits package

Continuous learning opportunities

Global community of colleagues

Resumo da oferta

McKinsey & Company, Inc. in Lisbon seeks an experienced data scientist to lead AI and machine-learning projects. You will collaborate on interdisciplinary projects, leveraging advanced techniques to deliver measurable business impact. A strong background in machine learning, statistics, and programming languages such as Python and R is essential.

With excellent opportunities for growth and a commitment to continuous learning, this role will allow you to thrive in a high-performance environment.

Qualificações

• 5+ years of technical experience in distributed computing and machine learning.
• Proven application of advanced analytical methods in commercial settings.
• Strong presentation skills in English and Portuguese.

Responsabilidades

• Lead the development of AI and machine-learning solutions.
• Mentor other data scientists and shape R&D roadmap.
• Collaborate closely with engineers and designers on projects.

Conhecimentos

Machine learning

Statistics

Python

R

SQL

Leadership

Formação académica

Bachelors, Masters or PhD in computer science, machine learning, or related field

Ferramentas

Docker

Kubernetes

AWS

GCP

Azure

Descrição da oferta de emprego

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You’ll lead the development of cutting‑edge AI and machine‑learning solutions that tackle some of the most complex business challenges across industries—delivering measurable impact at scale. You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape QuantumBlack, AI by McKinsey’s R&D roadmap, and identify high‑potential machine‑learning initiatives for industry application.

Working closely with data engineers, machine learning engineers, and designers, you will build end‑to‑end analytics solutions that create real‑world impact. Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations.

You will be based in Lisbon and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting‑edge machine‑learning and AI solutions to drive measurable business impact. You’ll thrive in an unparalleled environment for growth.

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

• Bachelors, Masters or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work
• Programming experience in languages such as Python, R, Scala, SQL
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Client‑facing skills e.g. working in close‑knit teams on topics such as data warehousing, machine learning
• 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.
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Willingness to travel
• Strong presentation and communication skills, both verbal and written, in English and Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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.