Graduate - Forensic Technology

Computer Science, IT, Data, Analytics, FinTech, AI, Software, Cyber.

What does this team do?

The Forensic Technology team is responsible for identifying and gathering digital evidence around our client’s biggest and most complex legal, regulatory and economic crime challenges. We help them to build solutions and conduct analysis so they can improve their overall operations and reduce risk to the business. 

What surprised our people about Deloitte?
"I think the main misconception that a lot of people have with any Big Four accounting firms is that it's going to be very corporate and very top-heavy."

Our services help a varied client base, from small companies to large corporates with a global presence. We love working with data and we want to help our clients get the most from theirs, whether they are investigating potential fraud or supporting complex regulatory and legal matters. We work on highly sensitive and varied projects using new technology, combining investigative skills with technical expertise. 

What kind of work will I do?

The work you do will depend on whether you join our Discovery or Data Analytics team. Before your interview, we’ll reach out and ask you to indicate which team you prefer. Whichever team you join, you’ll collaborate with colleagues across Forensic Technology and with other teams, including Financial Crime and Forensic Accounting.  

Discovery

The Discovery team works with data, using something called EDRM cycle (Electronic Discovery Reference Model). We help our clients navigate legal and regulatory challenges using a variety of software and technology. We work with clients across the globe to quickly collect data and provide clients with valuable face-to-face support. Graduates joining our team may have the opportunity to be involved in:

  • Digital forensics (identifying, preserving, and collecting digital evidence)
  • Forensic investigations (analysing evidence for legal cases or cyber incidents)
  • Using advanced eDiscovery platforms to manage, process and organise large volumes of data for review
  • Filtering and preparing data for legal review, and using eDiscovery tools and technologies, including the use of AI to enhance efficiency

Data Analytics 

The Data Analytics team specialises in the forensic analysis of diverse datasets, spanning financial, telecommunications, government, and public sector information, among others. We use lots of different tools and platforms, including SQL, Python, data visualisation, and network analytics, whilst actively expanding our capabilities in AI and Cloud platforms. You’ll learn all these when you join us. Our work involves the meticulous collection, cleaning, and in-depth analysis of complex data to support our clients. Graduates joining our team may have the opportunity to be involved in:  

  • Collection, cleaning and in-depth analysis of complex data to deliver critical insights to clients 
  • Projects that provide robust evidence for class action or litigation cases 
  • Optimising fraud detection capabilities, and enabling clients to gain deeper, actionable understanding from their data 

Where will I work?

At Deloitte we recognise how important face-to-face interaction is for your development in a new role. We also understand that our people need flexibility, which is why we operate a hybrid system, with a combination of office and home working. If you’re in a client-facing role, you might be expected to attend client sites on certain days, while your meetings will be a mix of online and in-person events. Please note your final assessment and induction will also be in-person, to give you the opportunity to network and build relationships.  

All our workspaces are accessible, however, if you require further flexibility due to a health condition or caring responsibilities, please discuss this with our team.

What skills and academic qualifications do I need?

You’ll need to have obtained or be studying towards a minimum 2:1 in an undergraduate degree and have graduated by September 2027 for the Autumn 2027 intake.

Please note that to apply for this role you must be willing and eligible to apply for and obtain UK Security Check clearance, unless you already hold valid clearance.

How will I develop? 

The programme is a mixture of technical, business and industry-focused training, delivered through online platforms, as well as instructor led courses. No prior coding or technical skills are required, but to be successful you’ll need a passion for technology and an inquisitive mind. You will obtain a grounding in areas such as investigative analysis, financial crime technology, machine learning techniques, big data tools, and digital evidence and forensic technology procedures. You’ll receive additional specialist training depending on your specific assignments.

Deadlines

We recommend getting your application in as soon as possible. Please note, some of our roles may close before the deadline if we experience high demand.

  • Assessment deadlines: Once you’ve applied to this role, you’ll receive an email from our recruitment team outlining next steps and the relevant deadlines for you to complete the following stages of our process. We operate a strict one application per year policy across our Early Careers opportunities. We recommend only submitting an application for a role that you feel is right for you.

Visa Sponsorship

Due to the Security Clearance requirement for this role, please note that we’re unable to progress applications from candidates on a Student Visa or those who do not hold complete right to work in the UK.   

What matters to you? Make it happen at Deloitte.

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Add to Shortlist
Shortlisted
  • Deadline
    October 19th, 2026
  • Starting
    September 2027
  • Hiring Multiple Candidates
    Yes
  • Salary
    Competitive + benefits
  • Degree required
    2:1 and above
  • Location
    Manchester (Hybrid)
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Disciplines Accepted...
  • AI/Machine Learning
  • Analytics/Statistics
  • Computer Science
  • Cyber Security
  • Data Science
  • FinTech/Finance
  • Information Technology
  • Maths
  • Software/Systems
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