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Six-month Data Science and Marketing Effectiveness internship analyzing large datasets, building marketing mix models, forecasting tools, customer segmentation, and econometric or machine learning models. The intern will use Python and related analytics tools, translate findings into client recommendations, participate in consulting projects, and complete an individual R&D project. The role is hybrid in London and requires full UK work authorization without sponsorship.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Lead and deliver end-to-end marketing analytics and MMM projects for global clients. Translate econometric and MMM insights into actionable business recommendations, manage client relationships, and lead teams (3–8 consultants). Support project planning, design, and implementation while communicating results to technical and non-technical stakeholders.

Lead end-to-end Marketing Mix Modeling (MMM) and marketing effectiveness projects, applying econometrics, Bayesian and machine learning methods. Manage small teams, build dashboards, translate analytics into C-suite recommendations, optimize marketing spend and campaign ROI, run client workshops, mentor junior staff, and support business growth and thought leadership activities.

Lead portfolios of marketing-mix-modeling (MMM) and marketing effectiveness programs, manage teams, ensure delivery quality, translate analytics into C-suite recommendations, drive account growth, and develop talent and practice thought leadership.