National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

eDiscovery Manager

London
4 days ago
Create job alert

eDiscovery Manager -London

We are seeking an experienced e-Discovery Manager/or Sr Manager, the role is with a leading international firm with an excellent reputation going through a period of growth and development in their Digital Services offer.

The role requires

  • Complete understanding of the legal framework of eDiscovery (exchange protocols and best practices across the full EDRM model).

  • High level experience in consulting and using advanced eDiscovery tools (GenAI, Continuous Active Learning (CAL)/TAR workflows, clustering, and search term analysis).

  • An ability to manage multiple eDiscovery matters, managing priorities and identifying the most efficient workflow.

  • Ability to work in a team collaboratively in a fast paced, solutions focused environment to deadlines.

  • Strong verbal and written communication skills, specifically the ability communicate technical solutions to a non-technical audience clearly.

  • Attention to detail, and ability to develop quality assurance practices into work.

  • Experience leading teams and coaching junior team members.

  • Proven ability to troubleshoot technical and non-technical issues and assist in implementing clear and repeatable solutions.

  • Proficient with multiple document review platforms such as Relativity, Nuix Discover, and Reveal etc.

  • Relativity Custom Development experience is an advantage

  • Also desirable is a high levels of IT skills and competence with a knowledge of Cloud/M365 administration etc.

  • Experience in undertaking data scoping and data collection exercises in accordance with industry best practice, including related certifications would be beneficial.

  • Some knowledge of eDiscovery functionality in M365 and Google Workspace also helpful.

    #eDiscoveryjobs, #eDiscoveryjobsLondon, #eDiscoveryjobshybrid, #eDiscoverypmjobs, #eDiscoveryjobsLondon, #eDiscoveryManagerjobs, #eDiscoveryConsultantjobs, #eDiscoveryseniormanagerjobs, eDisclosurejobs

    About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: Forensic Accounting & Fraud - (AML/CTF, Investigation, CFE’s etc.); Legal and LegalTech (E-Discovery, Digital Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.);

    Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients’ specifications. We may store applications in our cloud storage facilities that may include dropbox.

    *end

Related Jobs

View all jobs

Ediscovery jobs -e-Discovery PM, Senior PM, Directors

e-Discovery Manager

Data Science Manager

Data Science Manager

Data Science Manager

Staff Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.