At a Glance
- Tasks: Apply economic models to solve real-world business problems using large datasets.
- Company: Join Amazon's Economic Decision Science team, a leader in economic research.
- Benefits: Gain invaluable experience with potential for full-time employment after internship.
- Other info: 85% of interns transition to full-time roles; diverse and inclusive workplace.
- Why this job: Work on impactful projects and collaborate with top researchers in a dynamic environment.
- Qualifications: PhD students in Economics or related fields; knowledge of econometrics and programming required.
The predicted salary is between 20000 - 30000 £ per year.
Are you excited about applying economic models and methods using large data sets to solve real world business problems? Then join the Economic Decision Science (EDS) team. EDS is an economic science team based in the EU Stores business. The team's goal is to optimize and automate business decision making in the EU business and beyond.
An internship at Amazon is an opportunity to work with leading economic researchers on influencing needle‑moving business decisions using incomparable datasets and tools. It is an opportunity for PhD students in Economics or related fields. We are looking for detail‑oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL would be a plus.
As an Economics Intern, you will be working in a fast‑paced, cross‑disciplinary team of researchers who are pioneers in the field. You will take on complex problems, and work on solutions that either leverage existing academic and industrial research, or utilize your own out‑of‑the‑box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer‑facing products.
Roughly 85% of previous intern cohorts have converted to full‑time scientist employment at Amazon.
Basic Qualifications- PhD in business economics, engineering, analytics, mathematics, statistics, information technology or equivalent
- Experience in data analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
Economics - Intern - EU Stores, Economic Decision Science in London employer: Amazon Science
Amazon is an exceptional employer, offering interns the chance to work alongside leading economic researchers in a dynamic and innovative environment. With a strong focus on employee growth, approximately 85% of previous interns have transitioned into full-time roles, highlighting the company's commitment to nurturing talent. The inclusive culture at Amazon fosters collaboration and creativity, making it an ideal place for those eager to apply their skills to real-world business challenges while utilising cutting-edge data tools.
StudySmarter Expert Advice🤫
We think this is how you could land Economics - Intern - EU Stores, Economic Decision Science in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Amazon, especially those in the Economic Decision Science team. They can give you insider tips and maybe even put in a good word for you.
✨Tip Number 2
Prepare for your interviews by brushing up on your econometrics knowledge and data analysis skills. Be ready to discuss how you've tackled complex problems in the past and how you can apply that thinking to real-world business challenges.
✨Tip Number 3
Show off your coding skills! If you’ve got experience with Stata, R, Python, or SQL, make sure to highlight that in your conversations. Practical examples of how you've used these tools will really impress the interviewers.
✨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, it shows you’re serious about joining the team!
We think you need these skills to ace Economics - Intern - EU Stores, Economic Decision Science in London
Some tips for your application 🫡
Show Your Passion for Economics:Let us see your enthusiasm for economics in your application! Share specific examples of how you've applied economic models or methods in your studies or projects. This will help us understand your genuine interest in the field.
Highlight Your Data Skills:Since we’re all about working with large datasets, make sure to showcase your experience with tools like Stata, R, Python, or SQL. Even if you’ve just dabbled in them, mention any relevant coursework or projects that demonstrate your skills.
Be Detail-Oriented:We love detail-oriented candidates! Double-check your application for any typos or errors, and ensure that your CV and cover letter are tailored to the internship. A polished application shows us you’re serious about this opportunity.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate, so go ahead and get that application in!
How to prepare for a job interview at Amazon Science
✨Know Your Data Tools
Make sure you're familiar with Stata, R, or Python before the interview. Brush up on your SQL skills too, as they might come in handy. Being able to discuss how you've used these tools in past projects will show your practical experience and readiness for the role.
✨Understand Economic Models
Dive deep into economic models and methods relevant to the position. Be prepared to discuss how you would apply these models to real-world business problems. This shows that you’re not just academically qualified but also ready to tackle practical challenges.
✨Showcase Your Problem-Solving Skills
Think of examples where you've solved complex problems using data analysis. Be ready to explain your thought process and the steps you took to arrive at a solution. This will demonstrate your analytical thinking and ability to work under pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or challenges they face. This not only shows your interest in the role but also your eagerness to contribute to their goals. It’s a great way to engage with the interviewers and leave a lasting impression.
