The Opportunity

, the marketing effectiveness division of Monks, is looking for a bright and personable Econometrics / Market Mix Modelling (MMM) Consultant at the top of their game in the econometric modeling field to really influence and help drive the company on towards continued double digit growth.

The role description

Involvement in developing Measure.monks as the leading provider of predictive marketing modelling through the following:

Assist with managing projects for clients over a range of industries

Produce outstanding marketing evaluation projects to our clients  Exceptional data analytics Data visualisation Presentation delivery to the client Running statistical models

Assisting senior consultants and directors to produce outstanding marketing evaluation projects

Help with research and development of tools and ideas to grow the business in new areas using the latest techniques.

Potential for involvement across the business including but not limited to project management, new business, research & development, improving internal processes and tool development.

Requirements

The role will require the following attributes:

1 – 2 years direct commercial experience of market mix modelling and or marketing analytics Ability to explain complex modelling in a clear and simple manner Econometrics/Economics/ Mathematics (with Econometrics) degree with 2.1 or higher Knowledge of Excel & PowerPoint, google analytics and g suite is advantageous Project management experience Experience of modelling with statistical packages Knowledge of R or Python is advantageous, but not essential

#LI-BK1 #LI-Hybrid

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. 

While we continue to grow our teams, please be mindful of fraudulent job postings and recruiting activities that may use our company name and information. Please be mindful to protect your personal information, especially your national identification number, and bank account information during a recruiting process. While Monks may reach out to potential candidates via LinkedIn, we will always ask applicants to apply through our website () and will never ask for payment or bank account information during the recruitment process.