Our team practice the full lifecycle of data analysis, from the early stages of identification and collection, through to management, analysis, reporting and production. Our engagements typically require working with large, and often disparate, volumes of electronically stored structured and unstructured information, and the application of advanced analytics techniques.
The Discovery team specialise in identifying, collecting, and producing large volumes of electronically stored information (ESI) in the form of emails, documents, databases, audio/video files, social media, web sites and more, on behalf of our clients. This is secured and analysed to separate the relevant data for use in a range of different projects.
As an associate within this team, you will effectively support our clients by applying your knowledge and by leveraging our talented, multi-skillset team. Our approach is to combine cutting-edge forensic infrastructure and industry standard toolsets with innovative internally developed software and analytics packages.
Your responsibilities will include:
- Assisting engagement teams on end-to-end eDiscovery projects.
- Supporting all aspects of the engagement lifecycle, from initial scoping, day-to-day client support, and to project close.
- Interacting with clients directly to provide any required support and guidance in relation to the engagement and deployment of appropriate technical solutions and tools.
- Working closely with team members to ensure critical deadlines are met and engagement quality is at the requisite high standard.
- Using problem solving approaches to overcome unexpected issues, both technical and operational.
Requirements:
- Strong academic qualifications with a degree in the field of computer forensics, business or law, or appropriate work experience in an industry with translatable skills.
- Strong independent analytical, problem-solving and teamwork skills.
- High risk awareness and ability to identify and reduce risk in a fast-paced environment.
- Ability to produce high-quality deliverables.
- Excellent verbal and written communication skills in English (any additional language is considered as a plus).
- Adaptable and able to build strong relationships.
Other desired attributes (where applicable):
- Experience using Relativity or another document review platform (Clearwell, NUIX, Reveal, etc.)
- Scripting language experience, particularly SQL and Python.
- Exposure to Object Oriented programming, particularly C#, C++ or Java.
- Discovery specific job experience.
- Experience with Forensic collections.
What working at EY offers:
- Support and coaching from engaging colleagues.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to manage your role.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark.