Graduate programme
Our graduate training programme is underpinned by a development framework that broadens and deepens your knowledge. You'll learn from hands-on coaching and an outstanding variety of work, picking up business, personal and technical skills you can use across the network, and throughout your career.
Technology
We recognise that to bring value to our clients, we need to provide the best advice around technological innovation. With us, you’ll be at the forefront of new initiatives and explore emerging technologies and trends to help businesses. Whether that’s helping clients understand how technology can help them unlock their potential and protect their businesses, or using big data to provide insight and help steer strategy.
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.
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, Legal Technology 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.
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 need to get in
You'll need to have or be on course for a 2.1 degree or above in a Technology related discipline e.g. Computer Science, Software Engineering, Maths, Physics, Computer Forensics or Artificial Intelligence or relevant work experience.
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