Graduate Opportunity

Graduate Programmes in Forensic Technology

Belfast. Multiple vacancies.

Save to shortlist Saved to shortlist Apply now

Who we are

Our purpose - to build trust in society and solve important problems - has never felt more relevant. We bring our purpose to life through our focus on our clients, our people and the communities in which we live and work to address current and future challenges. As one of the world’s leading professional services organisations, attracting the right talent continues to be paramount. Investing in our people is central to our mission and inclusive culture. Whether it be empowering our people to learn new skills for the digital world, to reimagine the possible on how we work with clients, or to be open-minded on how we care for and support each other, we want to create an environment where our people can be the best they can be.

Why our people love working for PwC

What we do in Forensic Technology

In Forensic Technology we develop and utilise cutting edge technology to help our clients in times of crisis, to understand past challenges and prevent future ones. We could be searching the personal computer and smartphone of an executive suspected of intellectual property theft, analysing large volumes of financial data to uncover hidden patterns, or identifying emails containing evidence of price fixing.

Our growing practice serves a diverse international client base, across a variety of industries and in many geographic markets, often working with our colleagues abroad. We’re passionate about technology, help clients solve important problems and work on some of the most high profile projects in the UK and globally.

What you'll do

As a technologist in our Forensics team, you’ll get expert training and the opportunity to work across a range of disciplines, including Forensic Investigative Analytics, and eDiscovery. We invest heavily in technology year on year, so that we provide our clients with market leading solutions and our staff with the latest tools and collaborative working environments to enable them to produce their best work.

What you’ll gain

When you join the Forensic Technology team you’ll receive training in a wide range of technical and non-technical skills. This can include data manipulation techniques, machine learning, big data technologies, programming and advanced data visualisation training and certifications. We’ll also encourage you to attend in-depth training led by our technology partners based on your individual development needs. 

Join us and you'll get to work alongside leading professionals in fields such as Big Data, Predictive Analytics, Machine Learning and Data Visualisation. You could be looking for hidden patterns within the global payments of a bank accused of money laundering, searching for evidence of fraud and abuse within a company’s finance system or helping to identify illegal activity within millions of transactions. You may also be researching new tools and technologies and developing new propositions to take to our clients. 

As a valued member of the team you will gain exposure to a wide variety of analytical techniques, providing you with a solid foundation for your career in data analytics.

What you’ll need

If you are naturally inquisitive, have an analytical mind and enjoy solving problems, we would be interested in talking to you. Candidates should also be prepared to travel as some of our opportunities can require team members to work at other PwC offices or client sites across the UK or overseas on a temporary basis (subject to government advice/guidelines).

You’ll need a 2.1 degree or be on target to achieve a 2.1 degree in a STEM related subject (Science / Technology / Engineering / Mathematics) and demonstrate a passion for a career in technology and how organisations use it. We determine whether you're on course for a 2.1. based on the grades you achieved in your last completed year of academic study.

Our work is technical and successful candidates should be able to evidence experience in one or more of the following competency areas. This may be through previous work experience, personal work projects or university:

  • Data analysis (for example using SQL/Python).
  • Data visualisation.
  • Programming or scripting experience.
  • Big data.

When to apply

Although there is no application deadline, each year we have only a small number of roles available. We therefore advise applying early, but please be prepared for a short wait in processing your application at each stage of our process while we consider your application alongside others.

Explore. Inspire. Reimagine.

We've signed the Gradcracker feedback pledge.

(This means that we will supply feedback if requested after an interview.)

1e127ede32d8f816eacfb0aed73cee11

Apply online now
This button will open a new tab and take you directly to the employer's website to apply.
Please remember, if asked, that you found this job on Gradcracker.
Save to shortlist Saved to shortlist