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Advancing Social Mobility - Engineering, Data Science and Analytics

Skills

aianalyticsdata science

Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Advisory - Other

Management Level

Intern/Trainee

Job Description & Summary

Advancing Social Mobility

We’re committed to improving socio-economic diversity across our organisation and this programme is designed to inspire and support students from lower socio-economic backgrounds seeking experience in professional services. Come and meet people from diverse backgrounds who have built successful careers at PwC.

Engineering, Data Science and Analytics

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.

What you’ll need

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.

This role is available in the below location:

  • Manchester

#LI-DNI

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 30, 2026

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