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Economist data scientist emea macro consulting

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Oxford Economics

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Location:
United Kingdom , Belfast

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Category:
Consulting

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The role focuses on applying econometrics and data science for macroeconomic analysis and market forecasting for companies and public sector clients across EMEA, as part of consulting projects, helping clients to understand economic developments and the implications for their business.

Job Responsibility:

  • Contribute to the delivery of consulting projects by producing high-quality economic and econometric analysis, forecasts, and supporting materials including reports and presentations
  • Independently design, estimate, and interpret time-series econometric models for forecasting, scenario analysis, and stress testing
  • Apply quantitative data science techniques to large scale macroeconomic and market datasets using Python and/or R, alongside Excel-based tools
  • Present aspects of analytical work in internal and client-facing meetings, tailored to both non-technical and technical business audiences
  • Ensure project deliverables are clear, accurate, and appropriately structured for different client audiences
  • Contribute to client discussions, presentations, and meetings, helping explain analysis including econometric results, forecasts, and implications for business decision-making
  • Respond to client questions with clear and timely inputs

Requirements:

  • Degree in Economics, Finance, Data Science, or a related quantitative discipline, such as Econometrics, Statistics, or Applied Mathematics
  • Minimum 2 years of professional experience in an analytical (data science, econometrics etc), consulting, or research role for the Economist/Data Scientist role, and longer (3+ years) for the Senior Economist/Senior Data Scientist role
  • Demonstrated experience independently delivering end-to-end analytical work, including data preparation, time-series econometric and machine learning model development, validation, and interpretation, applied to forecasting, scenario analysis, or stress testing
  • Strong understanding of the economic theory underpinning time-series methods, including model specification, assumptions, and limitations, with experience delivering project-based outputs to deadlines
  • Strong analytical and quantitative skills, with experience working with large scale macroeconomic and market datasets
  • Experience in econometrics and programming in Python and/or R for applied time-series analysis and forecasting
  • Strong Excel skills for analysis and econometric and machine learning modelling
  • High attention to detail and a structured, task-oriented approach to work
  • Ability to communicate complex economic, econometric and quantitative data science information clearly to non-specialist audiences
  • Strong verbal and written communication skills in English
  • Ability to collaborate with colleagues across different offices and locations

Nice to have:

  • Experience in a client-facing role, including responding to client queries and contributing to the development of commercial relationships
  • Experience developing econometric and machine learning models for applying macroeconomic or market forecasts to assess business, sector, or market outcomes
What we offer:
  • Fast career progression
  • On-the-job training and access to external training courses
  • Potential of secondment to our global offices
  • Regular team gatherings, team and company socials
  • Volunteering days and full-company offsites
  • Private Healthcare
  • Salary sacrifice pension scheme
  • Employee Assistance Program
  • Enhanced Maternity and Paternity Leave
  • Workplace Nursery Scheme
  • Cycle to Work Scheme
  • Hybrid/Flexible Working

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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