Quantitative Researcher for UK Technical Talent Study

Posted last week

Worldwide

Summary

Hi, The UK debates why it loses frontier companies, but no systematic data exists on the people those companies are built from. We are building it: an open dataset mapping where 500 to 800 of the UK’s standout technical people from the past decade ended up, designed to inform UK government policy. Full brief attached. The work • Build the dataset from public sources: olympiad medallists, prize-winners, notable builders • Automate the pipeline, make the data trustworthy • Write findings a policymaker would quote Who we want • Technically brilliant: PhD-level researcher in AI or a related quantitative field, or equivalent proven ability • Brings initiative: sees a sharper method or stronger analysis, says so, builds it A good fit might be • An AI researcher interested in early talent identification and how exceptional ability is spotted before it becomes legible • A quantitative social scientist or economist drawn to person-level data on talent flows and brain drain • A data scientist or engineer who wants to influenced policy debate • Anyone who read about MacroPolo’s Global AI Talent Tracker and thought the UK needed one Ideally you will have experience building a people-dataset from public sources Please apply if this seems a good fit.

  • Less than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • Remote Job
  • Complex project
    Project Type

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Skills and Expertise
Mandatory skills
Quantitative Analysis
Activity on this job
  • Proposals:15 to 20
  • Last viewed by client:4 days ago
  • Interviewing:
    7
  • Invites sent:
    30
  • Unanswered invites:
    20
About the client
Member since Aug 12, 2019
  • United Kingdom
    London1:55 AM
  • $24K total spent
    96 hires, 30 active
  • 161 hours
  • Large company (100-1,000 people)

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