eDiscovery Project Managers (all levels)

London
1 week ago
Applications closed

Related Jobs

View all jobs

eDiscovery Project Managers (all levels)

eDiscovery Executive / Senior Executive

Data Engineer

(Apply Now) Head of Analytics & Data Science DecisionSciences & Machine Learning · ·

EMEA Cloud Solution Architect (Basé à London)

Operational Technology Engineer

e-Discovery Project Managers (and Seniors)

Note: I have a number of roles in London e.g. eDiscovery support/junior PM, eDiscovery PM's, Senior eDiscovery PM's and Director levels in the UK and Europe.

Location: Midlands roles and London roles (with travel)

Salary: circa £35K up to £95K (ish)

ROLE: (other more junior roles are similar tools with less responsibility and requiring less experience):

Senior position managing multiple eDiscovery projects from initiation to project completion. Providing professional consulting services to law firms and corporate clients. At more senior levels man management and BD will likely be required.

This is an ideal opportunity for someone who:

TASKS:

• Liaise with clients and project managers regarding client requests and manage projects.

• Utilise industry standard and bespoke software (can be any platform e.g. Relativity, Clearwell, Autonomy, Ringtail etc).

• Manage team workloads; apply analytical skills and utilise existing methodologies to client situations

• Create customised solutions to meet client needs

• Be client oriented to meet client deadlines

• Travel as required to ensure effective management of case activities

• Responsible for day to day activities of projects including interaction with other consultants, and client personnel, managing stakeholders

BASIC QUALIFICATIONS:

• Solid electronic discovery experience (can be from a vendor/consultancy or Law Firm)

• Experience with document review software applications

• 2:1 degree or higher (not essential)

• Motivated, self-starter; demonstrate an ability to solve complex problems and create innovative solutions

• Provide excellent client service in deadline-driven situations

• Ability to work independently in a fast-paced, multi-tasking role.

• Ability to work effectively as part of a

• Good communicator who can perform in a client facing role

IDEAL SKILLS:

• Knowledge of eDiscovery review platforms; databases or similar applications such as Relativity, Recommind, Introspect or Summation

• Knowledge of SQL database queries and scripting is usefu (not essential)

• Strong proficiency with Windows and related software

• Outstanding client service in demanding, deadline-driven situations

• Successful management/supervision of others

• Ability to travel when requested

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

• 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 and our policies are available upon request. Due to time constraints we can only reply to applicants that match our clients’ specifications above.

• Our Data Protection number: ZA(phone number removed)

Keywords: eDiscovery, e-Discovery, "e Discovery", EDRM, Legal Review, Relativity, Recommind, Introspect, Ringtail, Project Management, Electronic discovery reference model, Digital Forensics

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.