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Authority.inc Linkedin · Posted 3d ago

Founding Data Scientist

United Kingdom

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Indexed description

Authority is building the forecasting intelligence layer for the real world.


We help asset owners and investors understand what is most likely to happen next across their portfolios, and where their current assumptions may be wrong.


We’re looking for a Founding Data Scientist to work directly with customers and help turn Authority’s forecasting models into real decisions.


This is a highly forward-deployed role. You’ll sit at the intersection of data science, product, customers, and data partnerships.


What you’ll do
  • Work directly with clients to map their portfolios of physical and non-financial assets
  • Apply Authority’s forecasting models to real investment and risk decisions
  • Build customer-specific data pipelines, features, and analyses
  • Help define which events and outcomes Authority should forecast
  • Turn messy external and internal data into useful forecasting inputs
  • Identify and evaluate new datasets that could improve forecast accuracy
  • Build relationships with data providers and help grow Authority’s data partnership pipeline
  • Work closely with the founders to shape the product from the ground up
  • Help turn successful customer work into scalable product features


You might be a fit if
  • You’re strong in Python, statistics, machine learning, and data analysis
  • You’re excited to work in a VC-backed startup, and ideally have done so before.
  • You can explain complex analysis simply to non-technical customers
  • You enjoy speaking to customers as much as building models
  • You’re commercially minded and interested in what actually drives better decisions
  • You want unusually high ownership at an early-stage startup


Experience in real estate, infrastructure, private markets, alternative data, forecasting, or geospatial data is a plus, but not required.


Why join

You’ll be one of the first people at Authority and will have significant influence over the product, data strategy, and company.

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