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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