Serve Clients / Tech & AISkill group: N/ARegion: EuropeLocations: London (United Kingdom)Posted (LinkedIn): 2025-10-21Created: 2025-10-21Apply: you'll work withDriving 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. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. 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. 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. 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. You'll deepen your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment. Additionally, you'll contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML. By identifying patterns in data and delivering innovative solutions, you'll help clients maintain a competitive edge and transform their operations—driving measurable, lasting improvements across industries. You'll be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide. Together, you'll work on interdisciplinary projects to solve complex business challenges across various sectors. Partnering with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you'll lead the design and deployment of advanced machine learning and AI solutions that deliver tangible business impact. You'll connect technology with business value, tackle diverse challenges, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI's transformative potential while advancing as a technologist and leader. Your backgroundBachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data setsProgramming experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them to complex, data-rich environmentsAbility to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutionsExperience deploying ML/AI technologies into production or applied business environments is a plusWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureFamiliarity with Generative AI (GenAI) and agentic systems is a strong plusExcellent time management skills to handle responsibilities in a complex and largely autonomous environmentWillingness to travelStrong communication skills, both verbal and written, in English with the ability to adapt your style to different audiences and seniority levels
Data Scientist (AI/ML) in London employer: McKinsey & Company
As a Category Manager for Facilities Management, you will join a dynamic and inclusive workplace that values collaboration and innovation. Our commitment to employee growth is reflected in our structured learning programmes and mentorship opportunities, ensuring you can develop your skills while making a meaningful impact on our global operations. With a competitive salary and comprehensive benefits package, we prioritise your well-being and foster a culture of respect and accountability across our diverse team of professionals from over 100 nationalities.
