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Connect with headhunters to apply for similar jobsAdria Solutions Ltd.
Jefferson Frank
A global communications firm is seeking a Marketing Science Manager with a strong background in econometric modelling and at least two years of relevant experience. The position involves managing client relationships, presenting data analyses, and developing new data science solutions within a vibrant team based in London. Candidates should possess excellent coding skills in R and Python as well as outstanding communication abilities. This permanent position emphasizes innovation and data-driven decision making, offering a collaborative environment.
: We are looking for an experienced modeller with at least 2 years of marketing mix modelling experience with an ability to code who can join our well‑established and award‑winning team. We’re looking for someone keen to take the next step and take the lead role managing clients and projects, confidently delivering out of scope projects supporting growth in the team and agency.
Job title:
Marketing Science Manager
Skill :
Econometric Modelling, Regression, R, Python & Excel
Location :
The HVL Building, 3 Pancras Square, London, N1C 4AG
Havas is one of the world’s largest global communications groups, employing over 20,000 people in over 100 countries around the world.Our ambition is to be the UK’s most integrated, agile media and marketing services group with data, content, and entertainment at our core. It’s an exciting time for Havas Group in the UK, based in the Havas Village, known as HVL, in King’s Cross, London. This sees all UK agencies and 1,700 people come together under one roof, with one common purpose to further our #HavasTogether mantra, bringing media and creative together.Havas agencies stretch across media, creative, CRM, PR, healthcare, entertainment, and include among others Havas Media, Havas London, Havas Sports & Entertainment and Havas Helia.
Havas Media have also recently launched CSA - a global consultancy, data science and analytics brand. This role sits under the CSA brand in Havas Media Networks Data and Analytics (DNA) team.
Our CSA teamis at the core of the Havas Media proposition, providing marketing analytics, data science & engineering, consumer insight and Martech consultancy. Working closely together with our account teams, the CSA team’s capabilities are pivotal to Havas Media Group’s ability to strategically advise our clients. Our work allows clients to understand their customers, plan and optimise their marketing investments, effectively leverage their first and third‑party data sets and grow their brands.
Within the Havas and Analytics team, our data modellers work across Marketing Mix Modelling, Experimentation, Digital Attribution, TV Attribution, Incrementality Experimentation and across our Agent Based Modelling solution. We are continually looking for new and innovative ways to measure effectiveness and are developing new products.As a Google Transformation Partner, we get first‑hand experience on new tools and techniques in the field of Advanced Analytics, Data Science / ML.
We are looking for an experienced modeller with at least 2 years of marketing mix modelling experience with an ability to code who can join our well‑established and award‑winning team. We’re looking for someone keen to take the next step and take the lead role managing clients and projects, confidently deliveringout of scope projects supporting growth in the team and agency.
You will work very closely with our Data Analytics, Data Science & Engineering Teams,wider CSA team, and our global Centre of Excellence.
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.