Digital

Senior Data Scientist - QuantumBlack Labs

Job ID: 104610
  • London
  • Madrid
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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

You will be part of QuantumBlack Labsand work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning.
Our teams in QuantumBlack Labs are responsible for:
  • Designing products that can explain complex data landscapes and insights to our users
  • Building frameworks and libraries for Data Scientists, Data Engineers and Machine Learning Engineers to work in large-scale, complex projects. We open-source some of these frameworks, like in the case of Kedro, ARK.
  • Building innovative industry-specific AI/ML solutions that embeds our distinctive technical approach and business knowledge for enterprise clients.
As a Senior Data Scientist, you will partner with global teams to create advanced analytics solutions, enhance data science tools, and guide junior colleagues while addressing critical client needs. You’ll explore emerging technologies, engage in top industry events, and collaborate with diverse experts to deliver impactful innovations across sectors.
In this role, you will leverage your advanced analytics expertise to solve complex problems, write optimized code, and enhance our internal Data Science Toolbox. You will collaborate on multiple projects, ensuring statistical rigor and reusable methodologies, while mentoring junior colleagues and supporting senior stakeholders in translating analytics into actionable insights.
Your work will create real-world impact. By building cutting-edge technology assets, you will help clients modernize IT systems, harness the power of data, and achieve lasting improvements in their industries. Your contributions will enable organizations to unlock insights, solve complex problems, and amplify their impact across a broad range of issues.
You will be based in one of our global offices as part of our advanced analytics and data science team. This team works on high-impact projects across industries, helping clients unlock the potential of data to solve complex challenges and achieve transformative outcomes. You will collaborate with multidisciplinary teams to develop advanced analytics assets, optimize data science tools, and mentor junior colleagues while solving complex client challenges.
At McKinsey, you’ll grow as a technologist and leader. You’ll have the freedom to experiment with leading technologies, attend global conferences like NIPS and ICML, and work alongside inspiring, multidisciplinary teams. Your role offers a unique opportunity to innovate, learn, and make a tangible difference for clients and industries worldwide.

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
  • 5-7+ 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
  • Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable.
  • 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) Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels.
  • Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
  • Willingness to travel
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.

Job Skill Group - N/A
Job Skill Code - DSCS - Senior Data Scientist
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 12 00:00:00 GMT 2026
LinkedIn Posting City - London
LinkedIn Posting State/Province -
LinkedIn Posting Country - United Kingdom
LinkedIn Job Title - Senior Data Scientist - QuantumBlack Labs
LinkedIn Function - Information Technology;Product Management
LinkedIn Industry - Computer Software;Information Technology and Services
LinkedIn Seniority Level - Mid-Senior level