Consultant Growth Scientist

Publicis Connected Media UK is a fully end-to-end offering that unites media, commerce, CXM, social and data to deliver connected consumer experiences and drive exceptional business outcomes for our clients. Powered by Publicis Connected Identity, the UK's richest people-based data set built on real behaviours, it helps major brands move beyond siloed marketing and make more confident decisions in fast-changing conditions.

Join a team where data, commercial understanding, and analytical thinking come together to help clients make smarter decisions. As a Consultant Growth Scientist, you will lead the development of Marketing Mix Models that uncover the true drivers of retail sales performance and provide clear recommendations that influence investment decisions. This is an opportunity to combine technical expertise with critical thinking, working closely with stakeholders to translate complex analysis into meaningful business outcomes.

Responsibilities

• 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 model outputs through analytical testing, business context reviews, and structured sense-checking of results.
• Document modelling approaches, assumptions, and decisions to ensure transparency, consistency, and reproducibility.
• Present insights and recommendations to colleagues and clients, clearly explaining methodology, findings, and business implications.
• Partner with cross-functional teams to continuously improve modelling approaches, data quality, and analytical effectiveness.

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.

Publicis Media offers a wide range of benefits to support our employees. Full details are shared when you join, but highlights include core benefits such as Pension, Life Assurance, and Private Medical cover, alongside enhanced policies like Reflection Days and Shared Parental Leave. You'll also have access to a range of additional initiatives.

Publicis Groupe works primarily from the office or our clients' office four days per week. At Publicis Media, we are proud to be an equal opportunities employer. We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic. We are committed to providing a fair, accessible, and inclusive recruitment process.

Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change – building a culture where everyone feels seen, respected, and genuinely included.