FAQs
What is the duration of the internship?
The internship is for 6 months.
When is the ideal start date for the internship?
We are looking for someone to ideally start in October 2024.
Where is the internship located?
The internship is based at our London office.
What is the working schedule for this internship?
The internship is full-time, consisting of 37.5 hours per week, with a flexible working model of 3 days in the office and 2 days working from home.
Is this a paid internship?
Yes, this internship is paid, and the salary will be discussed during the interview stage.
What qualifications are necessary to apply?
Ideally, candidates should be working towards a Master's degree or PhD in a highly quantitative field such as Computer Science, Mathematics, or Statistics-related disciplines.
What programming skills are required for this role?
Candidates should have skills in Python for data science, including the ability to write modular Pythonic code.
Is knowledge of SQL beneficial for this internship?
Yes, skills in SQL for data science are considered a nice to have but not mandatory.
What kind of projects will the intern work on?
The intern will work on designing and implementing a reproducible framework for Sensitivity Analysis in Demand Forecasting models.
Is there an expectation for prior knowledge of machine learning?
Yes, candidates should have theoretical and applied knowledge of time series modeling and gradient boosting models.
Do I need to have the right to work in the UK to apply?
Yes, you need to have the right to work in the UK in order to be considered for the internship.
Are there any specific skills that would be advantageous to have?
Other nice to have skills include a good working knowledge of the latest time series modeling techniques.
How should I submit my application?
Along with your CV, please share a cover letter describing why you are interested in and a good fit for this internship.