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McKinsey Analytics Careers


Bridge analytics and business functions

Where you’re headed

You’re both business savvy and analytics proficient—able to frame a problem, shape a solution, and champion change. As a translator, you will be the link between the business and the data scientists, defining complex data-related requirements that bring strategic priorities to life for clients.

Where you’ve been

You have a degree in engineering or data science, as well as an advanced degree in business administration, statistics, or econometrics. In addition, you bring:

  • experience working in a data-centric business environment
  • an excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths realizing that value
  • a deep understanding of fundamental machine-learning principles (for instance, training versus predicting, performance measurement, and overfit), as well as techniques such as random forests or neural networks
  • familiarity with machine-learning technologies and tools, such as big data stack, Python, R, and visualization techniques
  • strong communication skills and an ability to break down complex information into relevant and digestible points for both colleagues and clients
  • excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure

Meet Our People

It’s incredible to be given the opportunity to work on projects that are completely transforming industries.

Leonid Translator, Operations, London

Getting the support, coaching, and mentorship from colleagues really helps you adapt quickly.

Mark Translator, Risk, London

Whether it’s a new geography, industry, or team, there’s always something new on the horizon here.

Shashwat Translator, Analytics Generalist, Gurgaon

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