At a Glance
- Tasks: Apply economic models to tackle real-world problems using big data.
- Company: Join Amazon Science, a leader in innovation and research.
- Benefits: Gain valuable experience with potential for full-time opportunities.
- Other info: Diverse and inclusive workplace with a focus on innovative solutions.
- Why this job: Work alongside top researchers and make a real impact in economics.
- Qualifications: PhD students in economics or related fields are encouraged to apply.
The predicted salary is between 20000 - 30000 € per year.
Amazon Science is offering an Economics Internship in Greater London, aimed at PhD students specializing in economics or related fields. The role involves applying economic models to solve real-world problems using large data sets. Interns will work with leading researchers in a fast-paced environment and are encouraged to deliver innovative solutions. Previous interns have a high conversion rate to full-time positions. This position does not discriminate based on any protected status and values a diverse workforce.
Economics Intern — Decision Science & Data Analytics employer: Amazon Science
Amazon Science is an exceptional employer, offering a dynamic and inclusive work culture in Greater London that fosters innovation and collaboration. As an Economics Intern, you will have the opportunity to work alongside leading researchers, gaining invaluable experience while contributing to impactful projects. With a strong focus on employee growth and a high conversion rate to full-time roles, Amazon Science is committed to nurturing talent and providing a rewarding career path for its interns.
StudySmarter Expert Advice🤫
We think this is how you could land Economics Intern — Decision Science & Data Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Amazon Science on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. We all know that personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your economic models and be ready to discuss how you would apply them to real-world problems. We suggest practising with friends or using mock interview platforms to get comfortable with the format.
✨Tip Number 3
Show off your data skills! If you’ve worked on any relevant projects, make sure to highlight them during your conversations. We recommend creating a portfolio or a presentation that showcases your analytical abilities and innovative solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Economics Intern — Decision Science & Data Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your relevant skills and experiences in economics and data analytics. We want to see how you can apply your knowledge to real-world problems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about economics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention any projects or research where you've used economic models or worked with large data sets. We’re looking for innovative thinkers!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Amazon Science
✨Know Your Economics Inside Out
Make sure you brush up on key economic theories and models relevant to the role. Be prepared to discuss how you would apply these concepts to real-world data sets, as this will show your understanding and readiness for the internship.
✨Showcase Your Data Skills
Familiarise yourself with data analytics tools and techniques. Be ready to talk about any previous experience you have with large data sets, and think of examples where you've used data to drive decisions or solve problems.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking. Practice articulating your thought process clearly, as this will demonstrate your ability to tackle complex issues in a fast-paced environment.
✨Emphasise Innovation and Collaboration
Since the role encourages innovative solutions, think of ways you've approached problems creatively in the past. Also, be ready to discuss how you work within a team, as collaboration is key in research settings.
