▷ (Urgent Search) Senior Account Manager

Epsilon
Croydon
1 month ago
Applications closed

Related Jobs

View all jobs

▷ Urgent Search! Data Scientist, Marketing FullTimeLondon

OverviewHow Youll Make an ImpactAs a Senior AccountManager at Epsilon, you will be the driving force behind clientsuccess, managing a diverse portfolio of high-profile brands.Reporting to senior leadership and collaborating with 12cross-functional teams, you will deliver innovative digitalmarketing strategies that maximise client revenue and align withomnichannel KPIs. Youll be at the forefront of shaping clientstrategies, leveraging Epsilons advanced digital marketing andMarTech solutions to create measurable value and foster clientretention and growth.Youll mentor and coach a team, ensuring theyreach their full potential while contributing to client success.The role is highly collaborative, working with various internal andexternal stakeholders to integrate and deliver objective-basedsolutions. We are offer you an opportunity to join a company thatis transforming the marketing and advertising technology landscape.Epsilons unique combination of data-driven insights andcutting-edge technology offers a compelling opportunity to work onindustry-leading projects that redefine how brands connect withconsumers. You will directly contribute to Epsilons growth andevolution, helping shape the future of the industry. This is ahybrid role requiring you to be in our London office 2/3 days perweek.What Youll AchieveYoull have significant opportunities forcareer growth, including the potential for upward mobility withinEpsilon and Publicis Groupe. In this role you will hone yourleadership, digital marketing, and strategic thinking skills,making you a key player in driving Epsilons success in the EMEAmarket.Who You AreWhat youll bring with you:3-5 years experience indigital marketing, MarTech, and project management.Strongorganisational, time management, and communicationskills.Analytical thinking with a knack for interpreting data totell compelling stories.Ability to manage and develop ahigh-performing team, driving both client and employeesuccess.Strong commercial acumen with the ability to identifygrowth opportunities and drive profitability.Why you might standout from other talent:Passion for big data, technology, and solvingcomplex problems.A consultative approach to client management,growth and strategy development.Experience in leadingcross-functional teams and driving innovative solutions.A proactivemindset focused on process improvement and automation.A growthmindset, always seeking to learn, adapt, and improve in afast-evolving industry.This role is perfect for someone eager to bepart of a dynamic, growing business at the cutting edge of digitalmarketing and technology, with ample opportunities to make asignificant impact.Additional InformationWhen You Join Us, WellCreate Something EPIC TogetherEpsilon is a global data, technologyand services company that powers the marketing and advertisingecosystem. For decades, weve provided marketers from the worldsleading brands the data, technology and services they need toengage consumers with 1 View, 1 Vision and 1 Voice. 1 View of theiruniverse of potential buyers. 1 Vision for engaging eachindividual. And 1 Voice to harmonize engagement across paid, ownedand earned channels.Epsilons comprehensive portfolio ofcapabilities across our suite of digital media, messaging andloyalty solutions bridge the divide between marketing andadvertising technology. We process 400+ billion consumer actionseach day using advanced AI and hold many patents of proprietarytechnology, including real-time modeling languages and consumerprivacy advancements. Thanks to the work of every employee, Epsilonhas been consistently recognized as industry-leading by Forrester,Adweek and the MRC. Epsilon is a global company with more than9,000 employees around the world.Epsilon has a core set of 5 valuesthat define our culture and guide us to create value for ourclients, our people and consumers. We are seeking candidates thatalign with our company values, demonstrate them and make themmeaningful in their day-to-day work:Act with integrity. We aretransparent and have the courage to do the right thing.Worktogether to win together. We believe collaboration is the catalystthat unlocks our full potential.Innovate with purpose. We shape themarket with big ideas that drive big outcomes.Respect all voices.We embrace differences and foster a culture of connection andbelonging.Empower with accountability. We trust each other to ownand deliver on common goals.Because You MatterWe know that we havesome of the brightest and most talented employees in the world, andwe believe in rewarding them accordingly. If you work here, expectcompetitive compensation, a great benefits package and endlessopportunities to advance your career.We offer hybrid workingopportunities, with our office space located in the IconicTelevision Centre, White City.As part of our dedication to enhanceour inclusive and diverse workforce, Epsilon is committed to equalaccess to opportunity for people without regard to race, age, sex,disability, neurodiversity, sexual orientation, gender identity,pregnancy and maternity, marriage and civil partnership or religionor belief. We are committed to providing reasonable adjustments forcandidates in our application process.#LI-TF1

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.