Advancing Social Mobility - Engineering, Data Science and Analytics
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Role details
Tech stack
Job description
In Engineering, Data Science and Analytics, you’ll help clients analyse and leverage the data they collect more effectively. The business world creates and gathers more data every day and relies on that data to feed and build AI applications, so managing this vital resource is more important than ever before. Graduates in this area use advanced technologies and techniques to design and develop solutions that help our clients organise, integrate, quality control and mine data. As well as utilising this data, along with leveraging external data sources, to generate game changing market, financial and operational insights to give our clients an advantage (for example in the context of a business acquisition or disposal, new market entry or carve out process). Your cutting-edge work will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Requirements
You are in the first year of an undergraduate degree in any subject;
Or in your second year of a four-year degree in any subject.
When you apply, we’ll also ask for your location preference. If you successfully complete the recruitment process, we’ll then let you know which office you’ll be based in during the three-day programme. Please be aware that we may not be able to offer you your first-choice office location.
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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