At a Glance
- Tasks: Design spatial economic models and develop forecasting methodologies.
- Company: Join Oxford Economics, a leader in location intelligence.
- Benefits: Enjoy private healthcare and flexible working arrangements.
- Other info: Collaborate with economists and data scientists in a dynamic environment.
- Why this job: Make an impact on urban economics with innovative tools.
- Qualifications: Strong programming skills and experience in spatial analysis required.
The predicted salary is between 50000 - 70000 £ per year.
Oxford Economics is seeking a Spatial Data Scientist in London. This position involves designing spatial economic models, developing forecasting methodologies, and building data pipelines for geospatial datasets. Collaborate with economists and data scientists to create innovative tools and communicate findings.
The ideal candidate will have strong programming skills, experience with spatial analysis, and a keen interest in urban economics. Benefits include private healthcare and flexible working.
Hybrid Spatial Data Scientist — Location Intelligence & Cities in London employer: Oxford Economics
Oxford Economics is an excellent employer for a Spatial Data Scientist, offering a dynamic work culture in the heart of London where innovation thrives. With a strong emphasis on employee growth, you will have opportunities to collaborate with leading economists and data scientists while enjoying benefits such as private healthcare and flexible working arrangements that promote a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Spatial Data Scientist — Location Intelligence & Cities in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the spatial data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your spatial analysis projects and any innovative tools you've developed. This is your chance to shine and demonstrate your programming prowess to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on urban economics and spatial modelling concepts. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Spatial Data Scientist — Location Intelligence & Cities in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills and experience with spatial analysis in your application. We want to see how you can bring your expertise to the table, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to urban economics and spatial economic models. It’ll show us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your ideas effectively. Remember, less is often more!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Oxford Economics
✨Know Your Spatial Data
Make sure you brush up on your knowledge of spatial analysis and urban economics. Be ready to discuss specific projects where you've applied these skills, as well as any tools or methodologies you've used. This will show that you're not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Programming Skills
Since strong programming skills are a must for this role, prepare to talk about your experience with relevant programming languages and frameworks. Bring examples of how you've used coding to solve problems in spatial data science, and be ready to tackle any technical questions they might throw your way.
✨Collaborative Spirit
This position involves working closely with economists and other data scientists, so highlight your teamwork experience. Think of examples where you've successfully collaborated on projects, and be prepared to discuss how you communicate complex findings to non-technical stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to spatial economic modelling and their current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding flexible working and innovation.
