At a Glance
- Tasks: Develop datasets and forecasting methodologies using spatial data science for economic analysis.
- Company: Join Oxford Economics, a leader in economic forecasting and analysis.
- Benefits: Enjoy private healthcare, enhanced parental leave, and a hybrid working model.
- Other info: Supportive workplace with opportunities for professional growth.
- Why this job: Make an impact on urban development with your skills in Python and economics.
- Qualifications: Strong background in Python, economics, and quantitative analysis required.
The predicted salary is between 50000 - 70000 £ per year.
Oxford Economics is looking for a Spatial Data Scientist to join their Cities & Regions team in London. This role involves developing datasets and forecasting methodologies for economic analysis using spatial data science. Ideal candidates will have a strong background in Python, economics, and quantitative analysis.
The position offers a hybrid working model and various benefits, such as private healthcare and enhanced parental leave, ensuring a supportive workplace.
Spatial Data Scientist - City & Region Forecasts (Hybrid) in London employer: Oxford Economics
Oxford Economics is an excellent employer, offering a dynamic work environment in the heart of London where innovation meets economic analysis. With a strong commitment to employee growth, the company provides extensive training opportunities and a hybrid working model that promotes work-life balance. Employees benefit from comprehensive perks, including private healthcare and enhanced parental leave, making it a supportive and rewarding place to build a career in spatial data science.
