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- Tasks: Analyse large datasets and apply economic models to solve real-world business challenges.
- Company: Join Amazon Science, a leader in innovative economic research.
- Benefits: Gain hands-on experience, mentorship, and exposure to industry leaders.
- Other info: Collaborate with top researchers and enhance your skills in R, Python, and SQL.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: PhD students in Economics or related fields with econometrics knowledge.
The predicted salary is between 20000 - 30000 £ per year.
Amazon Science is looking for PhD students in Economics or related fields for an internship focused on applying economic models to solve real-world business problems. The role involves analyzing large datasets, applying econometric techniques, and collaborating with business leaders to drive data-driven decision-making.
Candidates should have knowledge of econometrics and proficiency in R and Python. Experience with SQL is preferred. This position offers a unique opportunity to work with leading economic researchers in a dynamic environment.
Economics Decision Science Intern (PhD) employer: Amazon Science
Contact Detail:
Amazon Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economics Decision Science Intern (PhD)
✨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
Show off your skills! Prepare a portfolio showcasing your econometric projects, especially those using R and Python. This will not only demonstrate your technical abilities but also your passion for applying economic models to real-world problems.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and econometrics. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your application gets seen by the right people and shows your enthusiasm for the role.
We think you need these skills to ace Economics Decision Science Intern (PhD)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in economics and any relevant projects. We want to see how your skills in econometrics, R, and Python shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this internship. Share your passion for applying economic models to real-world problems and how you can contribute to our team.
Showcase Your Data Skills: Since this role involves analysing large datasets, be sure to mention any specific projects where you've used SQL, R, or Python. We love seeing practical examples of your work!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Amazon Science
✨Know Your Econometrics
Brush up on your econometric techniques and be ready to discuss how you've applied them in past projects. Be prepared to explain complex concepts in simple terms, as you might need to communicate these ideas to business leaders.
✨Showcase Your Coding Skills
Since proficiency in R and Python is crucial, make sure you can demonstrate your coding skills. Bring examples of your work or be ready to solve a coding problem during the interview. Familiarise yourself with SQL as well, as it’s preferred.
✨Understand the Business Context
Research Amazon Science and its approach to data-driven decision-making. Think about how economic models can apply to real-world business problems and be ready to discuss specific examples where you think your skills could add value.
✨Prepare for Collaboration Questions
This role involves working closely with business leaders, so expect questions about teamwork and collaboration. Have examples ready that showcase your ability to work in a team, especially in interdisciplinary settings.