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Keystone AI

Enterprise AI for forecasting and optimization

Economist

Social & Behavioral SciencesConfirmed live in the last 24 hours
Full-timeLondon, UK£115k - £127k /yrIn-person

About the Job

Requirements

  • A Ph.D. in Economics from a leading global institution.
  • Relevant professional experience, preferably in consulting, finance, or technology.
  • Experience working with large data sets.
  • Proficiency in at least one major statistical package.
  • Strong analytical skills with a keen understanding of financial and operational levers.
  • Ability to manage multiple complex work streams and work across organizational boundaries.
  • Strong written and oral communication skills.
  • Ability to work effectively across functional areas.

Responsibilities

  • Leverage complex data sets to deliver actionable advice and creative solutions to clients.
  • Use traditional and innovative economic frameworks to craft compelling arguments.
  • Learn sophisticated modeling approaches and econometric techniques to draw conclusions from large data sets.
  • Lead a diverse range of cases across a variety of clients and industries.

Desired Qualifications

  • Relevant professional experience in consulting, finance, or technology is preferred.

About the Company

Keystone AI

Enterprise AI for forecasting and optimization

Keystone.AI commercializes the DEEP Enterprise AI platform that places neural-network-based prediction and decision systems at the core of large enterprises' operating models to optimize supply chains and free cash flow. It works by transforming ERP data (orders, shipments, invoices) into fine-grained event streams using its RAIN encoding, then the DEEP platform uses these streams with its Foundation Forecasting model to predict demand and optimize production, inventory, fulfillment, and capacity planning. It differentiates itself by embedding DEEP inside clients' existing cloud environments (AWS/Azure/GCP) and ERP/planning ecosystems (SAP, Oracle, Kinaxis, o9, OMP) and by acting as a scientific predictor and decision engine built on Keystone's methodological lineage. Its goal is to become the enterprise's central science-based predictor and decision tool that reduces forecast errors, improves operational efficiency, and enhances free cash flow for global supply chains.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bellevue, WA
Founded
2003

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