Graduate / Junior Data Scientist at Enterprise in Egham
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Graduate / Junior Data Scientist

Job ID 298894 Egham, United Kingdom


Add an annual turnover of $26 billion to a fleet of 2 million vehicles spread across over 10,000 locations worldwide and you get Enterprise Rent-A-Car – the largest global mobility provider in the world.

Join our team as a Junior Data Scientist and you’ll have the opportunity to put your analytical skills to work on one of the largest and richest data sets available in our market; modelling complex business problems and deploying data solutions that we’re certain will have the power to transform and improve our business.

It’s no surprise that Enterprise has captured the top spot in the latest JD Power Rental Car Satisfaction Study for the fifth year in a row, even topping satisfaction scores for hotels, airlines and airports. It’s our relentless focus on providing excellent customer service that has enabled our business to grow. This is your chance to leverage the data we produce to deliver the insights and strategies that will enable us to grow that success even further.


You will be joining a fun, hard-working, and rewarding community of like-minded individuals that is the recently formed European Analytics Centre of Excellence team, based in our European HQ in Egham.

Central to your role will be exploratory data analysis, generating hypothesis and extracting actionable insights. As you can imagine, being the largest global mobility provider in the world also means that we generate an enormous amount of data. You therefore need to be able to confidently extract, clean, and manipulate both structured and unstructured datasets, with the aim of successfully informing decisions on a weekly basis.

To succeed, you’ll be intellectual curious and a creative thinker. You’ll have a highly collaborative mindset, comfortable with working with your team to deliver solutions, whilst prioritising your own workload at the same time. 


  • A bright graduate within a quantitative field
  • A specific demonstratable interest in Data Science
  • Experience with coding languages such as: SQL, SAS, R, Python, Julia, C++, etc.
  • Highly numerate and analytical

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