Sql jobs in United States

Department: Economic Impact Consulting

Employment Type: Full Time

Location: London, UK

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

• 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)

• 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

• 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!

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.