EMX | Data Scientist, Product Development

Analytics & Insight
London, England


About EssenceMediacom

EssenceMediacom is GroupM’s newest and largest agency, committed to delivering marketing breakthroughs for brands. It has disrupted the old models across media, creative, innovation and analytics to find new opportunities for advertisers and deliver truly integrated media solutions.

Born out of two pioneering agencies, EssenceMediacom fuses Essence’s performance, data, analytics, and creative technology DNA with MediaCom’s scaled multichannel audience planning and strategic media expertise.

As part of WPP, the world's largest marketing communications services group, and GroupM, WPP’s consolidated media investment management arm, we have access to the richest data, most robust benchmarks, and most advanced capabilities in the market. This helps us provide comprehensive solutions to all marketing challenges.

Our ‘breakthrough’ ambition is underpinned by our commitment to ‘continuous learning.’ We aim to ensure our people fulfil their potential by investing in their whole-person wellbeing, careers, and capabilities, which in turn helps grow our clients’ businesses.

EssenceMediacom, with 10,000 people across 120 offices in 96 markets, is one of the world’s leading communications specialists, with billings of more than US$21 billion (Source: COMvergence, 2021). Its global client roster includes Adidas, Coca-Cola (TCCC), Dell, Google, Hasbro, Mars, NBC Universal, P&G, Richemont, Shell, Sony, and Uber.

About the Team

The Product Data Science team focuses on applying data science techniques, Machine Learning and AI to help brands become more valuable to the world. It is part of the Product Development discipline. 

This role is part of the Product Data Science team and reports into the Head of Data Science. 

You will be working with leading advertisers, including Google, NBCU and Target, to harness their data and improve the performance of their campaigns, creating industry-first solutions. 

Our vision is to rapidly create prototypes and drive value through data science. You will be joining an award winning team, with more than 16 tech and media industry awards to our name, including Campaign Magazine’s Tech Awards Agency of the Year, Best Use of AI, and Breakthrough Tech as Part of a Campaign awards. 

We have invested in giving you the tools to make you as successful as possible, including a company wide data science workbench, full access to Google Cloud Platform and exclusive Google Tech Events, and a wider global community of analysts and data scientists.

About the Role

  • You are a highly innovative and dynamic individual, who can propose new ideas, and collaborate with a team to bring them into action.
  • You are passionate about analytics and data science. You have experience with interpreting large-scale data sets, visualising findings, writing code to automate tasks and using data science and ML approaches successfully.
  • You will work closely with the lead data scientist on the project, developers and engineering team.
  • You will be responsible for supporting the development and maintenance of working prototypes powered by data science propositions, ML and AI.
  • You will be expected to collaborate with the wider team, to apply advanced data science concepts, into production.
  • You will also contribute to the successful development of features and facilitate the understanding of how advanced DS techniques are valuable for products. 

Key Responsibilities

  • Action prototyping briefs, in collaboration with the wider engineering team.
  • Propose new product features using your knowledge on DS and industry expertise.
  • Collaborate with the wider DS team to grow adoption of DS and ML in the organisation.
  • Onboarding and formatting of new data sets, mostly hosted on BigQuery.
  • Collaborate on brainstorming sessions to include new features and/or approaches.
  • Communicate, debug and escalate any issues with the prototype pipelines.

Required experience

  • Degree(s) or relevant work experience in an applied quantitative field (Statistics, Mathematics, Economics, Engineering).
  • 2+ years’ experience in an analytically driven media role, preferably agency-side within the digital marketing industry. 
  • Strong analytical skills, with the ability to identify business questions, analyse data, draw conclusions, and develop actionable recommendations. 
  • Experience on coding Python ML pipelines.
  • Experience interrogating databases and systems using SQL and/or other tools to obtain answers. 
  • Experience presenting complicated data in a way that cuts-through the noise and allows the audience to focus on the underlying trends and insight.
  • Good organisational and project management skills, to ensure you can keep on top of your own and others’ workload. 
  • Established and professional communication, presentation, and influencing skills. 

Nice to have (distinctive advantage):

  • Experience on ad serving technologies (SA360, GA, Adobe Omniture, DoubleClick, Mediamind, Atlas), site analytics, research panels and tools.
  • Understanding and experience with bidding transactions in media platforms.
  • Experience on coding python for production.

You will have the talent and appetite to become an influential member of a fast-growing digital agency – to keep developing yourself and us!

What you can expect from EssenceMediacom

EssenceMediacom’s mission is to make advertising more valuable to the world. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an EssenceMediacom employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, or marital status.

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