Data Scientist I – QuantumBlack, AI by McKinsey

Company: McKinsey & Company
Apply for the Data Scientist I – QuantumBlack, AI by McKinsey
Location: London
Job Description:

Overview

In this role you collaborate with clients and cross-functional teams to deliver analytics-driven solutions, turning business problems into data models and actionable insights. You will work on cutting-edge projects and contribute to R&D, while growing your technical and leadership capabilities in a high-performance culture. You’ll translate complex analytics into business value and present findings to diverse audiences. This is a globally connected environment with mentorship, ongoing learning, and opportunities to attend conferences and shape AI-driven client outcomes.

Pay / Benefits

  • competitive salary
  • comprehensive benefits package
  • global learning and apprenticeship culture
  • mentorship and coaching
  • opportunities to travel
  • well-being for you and your family

Responsibilities

  • Collaborate with clients and interdisciplinary teams to develop analytics solutions
  • Translate business problems into analytical challenges and build models
  • Prototype statistical analyses and apply them to new domains
  • Contribute to internal tools and participate in R&D projects
  • Attend and present at conferences (e.g., NIPS, ICML)
  • Own and drive model development while managing deadlines
  • Impact business outcomes and drive improvements across industries

Key requirements

  • Bachelor/Master/PhD level in a technical field (as stated)
  • Up to 2 years of ML/data mining experience with substantial data sets
  • Programming experience in Python and/or R; familiarity with SQL
  • Ability to prototype and deploy data-driven solutions
  • Strong communication and presentation skills
  • Willingness to travel
  • Experience with ML/analytics tooling and cloud platforms (as listed)
  • GenAI and agentic systems experience considered a plus
  • Strong communication skills
  • Ability to explain complex analytics to non-technical audiences
  • Time management and organizational skills
  • Python
  • PySpark
  • SQL

…

Posted: October 2nd, 2026