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- Tasks: Develop and maintain econometric models using Python to enhance tourism products.
- Company: Join Oxford Economics, a leading consultancy in tourism economics.
- Benefits: Fast career progression, training opportunities, and flexible working arrangements.
- Why this job: Make an impact in the tourism sector with innovative data-driven solutions.
- Qualifications: Degree in Economics and strong Python programming skills required.
- Other info: Collaborative team environment with global office opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Tourism Economics is a subsidiary of Oxford Economics dedicated to analytically-based consulting to the tourism sector. Oxford Economics is one of the world’s leading economics consultancies, providing advice to international institutions, governments and blue-chip companies. We are seeking a detail-oriented, technically skilled Economist with strong programming and data science skills to join our Subscriptions Team in Europe. This role will support the enhancement, maintenance, and innovation of our flagship subscription products: the Global Travel Service (GTS), Global City Travel (GCT) and Air Passenger Forecast (APF) databases and associated outputs. The successful candidate will assist in refining forecasting models, expanding data-driven product features, and streamlining internal workflows under the guidance of senior team members, in order to drive revenue growth. The role will involve working with the rest of the Tourism Economics team who are based across a range of office locations.
Key Responsibilities
- Assist in developing and maintaining Python-based econometric models to expand our product and data offerings (e.g., new forecast variables, scenario tools, innovative client outputs), checking & troubleshooting tools and optimise internal workflows.
- Collaborate with technology teams to integrate new data sources, automate processes, and deploy systems on cloud platforms (e.g., AWS, Azure, GCP, etc).
- Contribute to the design of tools that enhance product scalability, improve efficiency and reduce manual effort in data validation, reporting, and visualization.
- Support the update and forecasting process for GTS and GCT.
- Stay informed on industry and technological trends to propose innovative product enhancements and process improvements.
Skills, Knowledge & Expertise
- Advanced skill in Python (required) for both data analysis, scripting, and automation, additional software development skills are desirable.
- Excellent analytical and quantitative skills.
- Excellent verbal and written communication skills.
- Knowledge of cloud platforms (AWS, Azure, GCP) and interest in learning DevOps practices (e.g., CI/CD) to streamline workflows.
- Strong analytical skills with experience handling large datasets (time series, cross-sectional).
- Proactive problem-solving and commitment to delivering innovative, scalable solutions.
- Understanding of econometric techniques and software is required.
- Basic knowledge of SQL and data visualization tools is desirable.
- Some understanding, experience and interest with other technologies e.g. Web development (React, Node.js etc), and other programming languages (Golang, Rust etc) is desirable.
- A degree in Economics is essential with 2 years of professional experience preferred.
- Ability to work effectively in teams across offices and within tight deadlines.
- Ability to plan workload, ensuring sufficient time for quality assurance from senior colleagues.
- Attention to detail and a commitment to going the extra mile to produce rigorous, accurate work, within the constraints of the time and resources available.
Job Benefits
Here are some of the benefits we offer in the UK to ensure you feel valued, supported, and thrive at work:
- Fast career progression
- On-the-job training and access to external training courses
- Potential of secondment to our global offices
- Regular team gatherings, team and company socials
- Volunteering days and full-company offsites
- Private Healthcare
- Salary sacrifice pension scheme
- Employee Assistance Program
- Enhanced Maternity and Paternity Leave
- Workplace Nursery Scheme
- Cycle to Work Scheme
- Hybrid/Flexible Working
Equal Employment Opportunity (EEO)
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.
Economist - Product Development - Tourism Economics employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist - Product Development - Tourism Economics
✨Tip Number 1
Network like a pro! Reach out to people in the tourism and economics sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, econometric models, or any data visualisation work. This is your chance to demonstrate your technical prowess and problem-solving abilities, which are key for the Economist role.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud platforms and econometric techniques. Be ready to discuss how you can contribute to product development and innovation at Tourism Economics. Practice common interview questions and have your own questions ready!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team. Don’t forget to tailor your application to highlight your relevant experience and skills!
We think you need these skills to ace Economist - Product Development - Tourism Economics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Economist role. Highlight your Python skills, data analysis experience, and any relevant projects that showcase your analytical prowess. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about tourism economics and how your background aligns with our goals. Let us know what makes you the perfect fit for this role.
Showcase Your Technical Skills: Since we're looking for someone with strong programming and data science skills, be sure to mention any relevant tools or technologies you've worked with. If you've got experience with cloud platforms or econometric models, shout about it!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Oxford Economics
✨Know Your Econometrics
Brush up on your econometric techniques and be ready to discuss how you've applied them in past projects. This role requires a solid understanding of forecasting models, so be prepared to explain your experience with Python-based models and any innovative solutions you've implemented.
✨Showcase Your Programming Skills
Since advanced Python skills are a must, come prepared with examples of your coding work. You might even want to bring along a small project or two that demonstrates your ability to handle large datasets and automate processes. This will show your technical prowess and problem-solving abilities.
✨Familiarise Yourself with Cloud Platforms
Make sure you understand the basics of cloud platforms like AWS, Azure, and GCP. Be ready to discuss how you've used these technologies in previous roles or how you plan to integrate them into your work. Showing a willingness to learn DevOps practices can also set you apart.
✨Communicate Clearly and Confidently
Excellent verbal and written communication skills are essential for this role. Practice explaining complex economic concepts in simple terms, as you'll need to collaborate with various teams. Being able to articulate your thoughts clearly will demonstrate your analytical skills and attention to detail.