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Economics - Intern - EU Stores, Economic Decision Science

Amazon

Economics - Intern - EU Stores, Economic Decision Science

Amazon

London, GBR

·

On-site

·

Internship

·

1mo ago

Required skills

Python

SQL

As a STRUC Economist Intern, you'll specialize in structural econometric analysis to estimate fundamental preferences and strategic effects in complex business environments. Your responsibilities include:

Analyze large-scale datasets using structural econometric techniques to solve complex business challenges
Applying discrete choice models and methods, including logistic regression family models (such as BLP, nested logit) and models with alternative distributional assumptions
Utilizing advanced structural methods including dynamic models of customer or firm decisions over time, applied game theory (entry and exit of firms), auction models, and labor market models
Building datasets and performing data analysis at scale
Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
Tackling diverse challenges including pricing analysis, competition modeling, strategic behavior estimation, contract design, and marketing strategy optimization
Helping business partners formalize and estimate business objectives to drive optimal decision-making and customer value
Build and refine comprehensive datasets for in-depth structural economic analysis
Present complex analytical findings to business leaders and stakeholders

Basic Qualifications

  • Are enrolled in a PhD in a relevant field
  • Knowledge of statistical software such as R, Python

Preferred Qualifications

  • Experience with SQL
  • Experience working with large data sets Knowledge of econometrics

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. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

$1.5T

Valuation

Reviews

2.9

10 reviews

Work-life balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

4 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

Junior/L3 · Warehouse

1 reports

$30,509

total per year

Base

$23,546

Stock

-

Bonus

-

$30,509

$30,509

Interview experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge