Consultant Growth Scientist
On-siteLondon, England, United Kingdom
Job Summary
Design and deliver Marketing Mix Models that measure and forecast the impact of media, pricing, promotions, and external market factors on retail sales performance. Own the preparation, transformation, and quality assurance of large retail and marketing datasets to create reliable modelling foundations. Develop and refine model variables, applying econometric principles and commercial understanding to build robust and credible models. Validate outputs through analytical testing and structured sense-checking, then present insights and recommendations to colleagues and clients. Partner with cross-functional teams to continuously improve modelling approaches and data quality. This role combines technical expertise with critical thinking to help clients make smarter decisions, working within Publicis Connected Media's end-to-end offering that unites media, commerce, and data to drive business outcomes.
Required Qualifications
- Experience developing Marketing Mix Models or econometric models within a commercial environment, ideally supporting retail or consumer-focused businesses
- Strong Python capabilities for data analysis, modelling, and visualisation, with experience working with large and complex datasets
- Solid understanding of econometric methods, including regression analysis, model diagnostics, variable selection, and multicollinearity management
- Ability to evaluate analytical findings critically and apply sound judgement when interpreting model outputs
- Experience integrating multiple data sources, including promotional, seasonal, competitive, economic, or environmental factors
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- A collaborative, curious, and evidence-based approach to problem-solving, with a commitment to transparency and continuous improvement
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