IT & Software

Data Scientist I - QuantumBlack, AI by McKinsey

McKinsey & Company

London · Greater London · United Kingdom

Overview

In this Data Scientist I role, you collaborate with clients and cross-functional teams to turn data into impactful analytics solutions. You’ll translate business problems into modeling challenges, build and evaluate models, and contribute to internal tools and R&D. The position offers growth through mentoring, global collaboration, and exposure to cutting-edge projects and conferences. You’ll work across industries to drive measurable improvements and maintain a competitive edge for clients.

Pay / Benefits
  • continuous learning and apprenticeship culture
  • mentorship and development opportunities
  • global colleague network across 65+ countries
  • world-class benefits and competitive salary
  • opportunity to attend conferences
  • work on diverse, cutting-edge projects
Responsibilities
  • Collaborate with clients and interdisciplinary teams to develop analytics solutions
  • Translate business problems into analytical challenges and build models
  • Evaluate models with relevant metrics to ensure impact
  • Contribute to internal tools and R&D projects
  • Attend and present at conferences (e.g., NIPS, ICML)
  • Support cross-functional project delivery and knowledge sharing
  • Work with global colleagues to solve industry-specific problems across healthcare, automotive, energy, and elite sports
Key requirements
  • Upto 2 years of professional experience applying ML and data mining to real-world datasets
  • Programming experience in R and/or Python; experience with SPSS/SAS is a plus
  • Ability to prototype statistical analyses and develop data-driven solutions in new domains
  • Ability to independently own and drive model development under deadlines
  • Strong analytics aptitude and passion for solving complex data challenges
  • Excellent time management and organizational skills
  • Strong oral and written communication skills in English and local languages
  • Willingness to travel
  • Communication skills
  • Presentation abilities
  • Cross-functional collaboration
  • Python
  • PySpark
  • PyData stack

Reference: WJ-747_30172978

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