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- Tasks: Enhance forecasting models and streamline workflows in tourism data science.
- Company: Leading economic consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid working, career progression, and a chance to make an impact.
- Why this job: Join a dynamic team and apply your programming skills to real-world economic challenges.
- Qualifications: Degree in Economics and advanced Python programming skills required.
- Other info: Ideal for detail-oriented individuals passionate about data and economics.
The predicted salary is between 40000 - 50000 £ per year.
A leading economic consultancy in Greater London is looking for a detail-oriented Economist skilled in programming and data science. The role involves enhancing and maintaining flagship products and supporting revenue growth by refining forecasting models and streamlining workflows.
Candidates should possess advanced Python skills, analytical capabilities, and a degree in Economics, along with a commitment to delivering innovative and scalable solutions. Opportunities for career progression and hybrid working are offered.
Economist - Tourism Forecasting & Data Science (Hybrid) employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist - Tourism Forecasting & Data Science (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the economics and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your skills.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding forecasting models. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your analytical capabilities! Create a portfolio of projects that highlight your programming and data science skills. This could be anything from personal projects to contributions to open-source initiatives.
✨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 Economist - Tourism Forecasting & Data Science (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced Python skills and any relevant data science experience in your application. We want to see how you can enhance our forecasting models and contribute to our innovative solutions!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Economist role. Mention your analytical capabilities and how they align with our goals at StudySmarter.
Be Detail-Oriented: As a detail-oriented economist, it’s crucial to present a polished application. Double-check for any typos or errors, and ensure your formatting is consistent. We appreciate attention to detail!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in tourism forecasting and data science!
How to prepare for a job interview at Oxford Economics
✨Know Your Economics Inside Out
Make sure you brush up on key economic concepts, especially those related to tourism and forecasting. Be ready to discuss how your academic background and experiences have shaped your understanding of these areas.
✨Show Off Your Python Skills
Prepare to demonstrate your programming prowess in Python. You might be asked to solve a problem or explain a project where you used Python for data analysis. Have examples ready that showcase your ability to refine forecasting models.
✨Be Data-Driven in Your Responses
When discussing your past work, focus on how your analytical capabilities led to tangible results. Use specific metrics or outcomes to illustrate how your contributions supported revenue growth or improved workflows.
✨Embrace the Hybrid Work Culture
Since this role offers hybrid working, be prepared to discuss how you manage your time and productivity in both remote and office settings. Share any experiences that highlight your adaptability and commitment to delivering innovative solutions.