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McKinsey & Company

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Data Scientist II - QuantumBlack, AI by McKinsey

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Summary

Data Scientist II at QuantumBlack, McKinsey's AI arm, building and deploying machine learning and advanced analytics solutions for client engagements across industries. Day-to-day involves translating business problems into analytical ones, modeling with Python/SQL, and working with big data tools like PySpark, Hive, and cloud platforms.

Salary: £80,000 - 90,000 per year

Requirements:
  • We require a Bachelors, Masters, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or another technical field.
  • We require 2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data sets.
  • We require programming experience focused on machine learning, including SQL and Pythons Data Science stack.
  • We value good knowledge of at least one big data framework such as PySpark, Hive, or Hadoop.
  • We consider R, SPSS, and SAS nice-to-have skills.
  • We require a strong understanding of machine learning methods and experience applying them in complex, data-rich environments.
  • We require the ability to prototype and deploy statistical and machine learning algorithms and translate analytical outputs into data-driven solutions.
  • Experience deploying ML/AI technologies into production or applied business environments is a plus.
  • Familiarity with Generative AI and agentic systems is a strong plus.
  • We require excellent time management skills to handle responsibilities in a complex and largely autonomous environment.
  • We require willingness to travel.
  • We require strong communication skills, both verbal and written, in English and local office language(s), with the ability to adapt communication style to different audiences and seniority levels.
Responsibilities:
  • We collaborate with clients and interdisciplinary teams to develop advanced analytics solutions, optimize code, and solve complex business challenges across industries.
  • We partner with clients to understand their needs and develop impactful analytics solutions.
  • We translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics.
  • We contribute to internal tools and participate in R&D projects.
  • We have opportunities to attend and present at leading conferences such as NIPS and ICML.
  • We identify patterns in data and deliver innovative solutions that help clients maintain a competitive edge and transform their operations.
  • We work closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide on interdisciplinary projects.
  • We partner with QuantumBlack leadership, client executives, and technical experts to lead the design and deployment of advanced machine learning and AI solutions.
Technologies:
  • AI
  • Big Data
  • Hadoop
  • Hive
  • Support
  • Machine Learning
  • PySpark
  • SAS
  • SQL
  • Airflow
  • AWS
  • Cloud
  • Databricks
  • Docker
  • GCP
  • Kubernetes
  • Python

More:

We are a high-performance, high-reward environment focused on driving lasting impact and building long-term capabilities with our clients. We provide resources, mentorship, apprenticeship, coaching, and exposure designed to accelerate your growth as a leader. Our learning culture emphasizes continuous development, clear and actionable feedback, and the opportunity to make a tangible impact with your ideas and contributions. We operate as a global community with colleagues across 65+ countries and more than 100 nationalities, and we offer a competitive salary based on location, experience, and skills, along with a comprehensive benefits package to support holistic well-being for you and your family. The role is based in London, and you will work within a dynamic, innovative environment alongside top-tier talent across disciplines.

last updated 36 week of 2026

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