Sr. Economist / Data Scientist - Economic Impact

Company: oxfordeconomics
Location: London, England
Type: hybrid
Posted: Aug 19, 2026
Views: 0
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.
  • 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
Required
  • 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)
Desired
  • 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
Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work:
- 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!

Equal Employment Opportunity (EEO)
Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

About the Company

Name: oxfordeconomics
Location: Oxford, UK

Oxford Economics is the world's foremost independent economic advisory firm, and we are always looking for top talent to join our expanding team. View our current jobs, placements, and graduate schemes below. We are always seeking top talent to join our successful teams of innovators, economists and business and thought leaders. As a member of our team, you will be an integral part of our global growth plans and would join a world-class company at the forefront of our industry. You will have the opportunity to collaborate with professionals from various backgrounds and countries. Our core values are excellence, collaboration, passion and curiosity. Our people are our most valued assets which is why we always aim to provide a great environment for our teams.

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