At a Glance
- Tasks: Apply economic models to tackle real-world problems using large data sets.
- 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 decision science.
- 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 in London employer: Amazon Science
Amazon Science is an exceptional employer that fosters a dynamic and inclusive work culture in Greater London, where interns are empowered to apply their economic expertise to real-world challenges. With a strong emphasis on innovation and collaboration, employees benefit from extensive growth opportunities and a high conversion rate to full-time roles, making it an ideal environment for aspiring economists to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Economics Intern — Decision Science & Data Analytics in London
✨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. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your economic models and data analytics skills. Be ready to discuss how you would apply these concepts to real-world problems. Practising common interview questions can help you feel more confident.
✨Tip Number 3
Show off your passion for economics! In your conversations and interviews, share your enthusiasm for the field and any relevant projects you've worked on. This will help you stand out as a candidate who truly cares about the work.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got all the latest opportunities listed there, and it’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Economics Intern — Decision Science & Data Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the role. We want to see how your background in economics or related fields can contribute to solving real-world problems at Amazon Science.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about decision science and data analytics. We love seeing candidates who can articulate their interest in applying economic models to large data sets.
Showcase Your Analytical Skills:In your application, don’t forget to mention any projects or experiences where you’ve used data analysis to drive decisions. We’re looking for innovative thinkers who can tackle complex challenges, so let us know how you fit the bill!
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 shows us you’re serious about joining our team at Amazon Science!
How to prepare for a job interview at Amazon Science
✨Know Your Economics Inside Out
Make sure you brush up on your economic theories and models. Be prepared to discuss how you've applied these concepts in real-world scenarios, especially with data sets. This will show that you can think critically and apply your knowledge practically.
✨Familiarise Yourself with Data Analytics Tools
Since the role involves working with large data sets, it’s crucial to be comfortable with data analytics tools. Whether it's Python, R, or SQL, make sure you can talk about your experience with these tools and how you've used them to derive insights from data.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex problems, especially those related to economics. Use examples from your studies or previous experiences to illustrate your approach.
✨Show Your Passion for Innovation
Amazon Science values innovative solutions, so be ready to share your ideas on how to approach economic problems differently. Think of unique perspectives or methods you've considered in your work or studies, and be enthusiastic about discussing them during the interview.
