Women in Business - Engineering, Data Science and Analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Advisory - Other

Management Level

Intern/Trainee

Job Description & Summary

Women in Business

We’re committed to improving gender balance at PwC and to increasing the visibility of female leaders across the firm. While women make up 44% of our early careers hires, female talent remains underrepresented in our industry, especially at senior levels.

This programme is designed to inspire and support undergraduates interested in professional services, while giving them the opportunity to hear from women at PwC about their careers and experiences. Come and meet the inspiring women who are leading PwC into the future.

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.   

#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