Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

eDiscovery Project Managers (all levels)

London
4 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Head of Data Engineering

Sr. Manager, Data Science & AI

Global Director, Data Architecture

Principal Data Scientist

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

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.