Consultant Growth Scientist
On-siteLondon, England, United Kingdom
Job Summary
Design and deliver Marketing Mix Models to 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, then develop and refine model variables using econometric principles. Validate outputs through analytical testing and business context reviews, documenting approaches to ensure transparency and reproducibility. Present insights and recommendations to colleagues and clients, partnering with cross-functional teams to continuously improve modelling approaches and data quality. This role combines technical expertise with critical thinking within Publicis Connected Media UK, helping clients make smarter decisions using our people-based data set.
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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