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Economist / Data Scientist - Economic Impact

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Oxford Economics

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Oxford Economics, a leading economic forecasting and consulting firm, is seeking a senior data scientist to join its Economic Impact team. The successful candidate will report into the team lead and play a key role in delivering high-quality economic analysis and driving analytical and technical capability across the team.

Job Responsibility:

  • Applying quantitative techniques to large complex datasets using R and/or Python
  • Design, build and deploy econometric and machine learning models for clients across the consultancy business
  • Communicating with clients effectively, responding promptly and positively to their enquiries, with progression to handling and developing client relationships
  • Working with colleagues to develop research proposals and project reports
  • Being able to plan and structure your own project work, ensuring sufficient time for quality assurance from senior colleagues
  • Taking the initiative in suggesting ways to strengthen the quality of our analysis through creative solutions
  • Taking the lead on technical aspects of project work, with progression to managing projects

Requirements:

  • 2-5 years’ professional experience in data scientist or applied economics
  • Familiarity working with at least one cloud platform provider (e.g AWS, GCP, Azure)
  • Experience working in a collaborative environment using version control software (e.g Git)
  • Experience building and deploying machine learning models (supervised, unsupervised, and/or deep-learning models)
  • Familiarity with modern generative AI concepts (e.g embeddings, RAG pipelines, fine-tuning)
  • Strong programming skills in Python
  • desirable to have at least one other such as R, SQL, JavaScript, etc
  • Experience working with a variety of structured and unstructured data
  • Excellent written and verbal communication, including the ability to explain economic concepts and quantitative results to non-specialists
  • Experience building UI dashboards to visualise and engage with complicated data (e.g. Streamlit, PowerBI, etc.)
  • An understanding of using containerised workflows (e.g Docker)

Nice to have:

  • A postgraduate degree in economics or a closely related quantitative discipline
  • Experience conducting economic analyses using large complex datasets, for example company procurement databases, survey microdata, Bloomberg, etc.
  • Experience working with a deep-learning framework such as PyTorch or TensorFlow
What we offer:
  • Private Healthcare
  • Employee Assistance Program
  • Enhanced Maternity and Paternity Leave
  • Workplace Nursery Scheme
  • Cycle to Work Scheme
  • Hybrid/Flexible Working
  • Team Gatherings and Connection Boost

Additional Information:

Job Posted:
February 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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