Marketing Science Manager

Description

:
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 #Havas Together 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.

• Present analysis to wider stakeholders including clients and colleagues within the agency with confidence
• Hands‑on stakeholder management to ensure that internal and external teams extract maximum value from our solutions
• Be familiar with coding to streamline work processes, and have the ability to develop and deliver new product solutions using programming languages
• Successfully work with and manage our Centre of Excellence teams to deliver best‑in‑class econometric solutions on‑time and to the agreed scope‑of‑work
• Collaborate with the Directors and wider team to push forward our media measurement agenda
• Make use of our bespoke modelling software, and champion its further development and usage across the Havas group
• Be a champion for data‑driven decision making throughout Havas
• You will help to develop new data science products and solutions to improve agency workflows or bring in new revenue streams
• Assist in project leading for multiple revenue‑generating econometric modelling solutions

• Minimum of two years' hands‑on experience in econometric modelling
• Stro…