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

Apply Now

Client Executive

more2
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate (Data Scientist) - London, Wroclaw

Associate (Data Scientist) - London, Wroclaw

Data Scientist II – QuantumBlack, AI by McKinsey

Data Scientist II – QuantumBlack, AI by McKinsey

Data Scientist

Head of Data Science

Company Description

more2, a dynamic team of expert marketers and data scientists dedicated to empowering retail, ecommerce and direct-to-consumer brands with cutting-edge customer insights, strategic guidance, and unparalleled marketing performance. With two decades of experience, we have honed our expertise and cultivated a unique approach that sets us apart from traditional agencies.


more2 are part of Sideshow Group – a collection of ten agencies built on evidence-based marketing. Together, we span digital experience, UX design, creative, digital performance, data science, experimentation, transformation, and proprietary customer data platforms. We have offices across the UK, Europe, US and Canada. As our clients business grows and their needs evolve, we can draw upon world class experts across brand experience, performance, strategy, and measurement.

Position

As a Client Executive, you will be the point of contact for your clients, working closely with Client Directors and the Head of Client Management. You’ll ensure that clients receive the right level of support, guidance, and strategic advice to help them meet their objectives. Your contribution will be key in mobilising the resources and expertise across the business to make a significant impact on our clients’ success.

What You'll Do:

Manage day-to-day client accounts, acting as the first point of contact and ensuring requests are actioned promptly. Collaborate with Client Directors to ensure client goals and strategies are aligned and effectively implemented. Plan and lead client meetings, delivering accurate and professional presentations with actionable recommendations. Translate client requests into clear briefs, working with internal teams to ensure timely and high-quality delivery. Analyse and interpret client data, providing valuable insights and recommendations to drive their business forward. Proactively resolve any client issues and escalate queries when necessary, ensuring client satisfaction at all times.

Requirements

What We’re Looking For:

Experience:Ideally, 1+ years of experience in a similar role, with a basic understanding of customer data and business commerciality.Skills:Proficient in Microsoft Office, particularly Excel and PowerPoint. You should be comfortable working with numbers and data, and able to present complex information in a clear, straightforward manner.Organisation:Highly organised with strong attention to detail, able to manage multiple tasks and projects simultaneously.Communication:An excellent communicator, confident in leading client meetings and building strong relationships.Proactive Attitude:You’re not just a problem-solver, but someone who can identify opportunities for clients and suggest improvements.

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.