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Data Scientist - Marketing Science

wppmedia·Londonmid

In short

  • →Científico de datos en marketing con enfoque en optimización de campañas publicitarias mediante IA y ML.
  • →Día a día: construyes modelos predictivos, segmentas audiencias y analizas pruebas A/B para mejorar resultados de campañas.
  • →Destacado: trabajas con datos reales de medios en escala global, impactando directamente en la eficacia de inversiones publicitarias.

Proficiency in English required for collaboration across global teams.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo seleccionarías entre un modelo de regresión lineal y un árbol de decisión para predecir el rendimiento de una campaña publicitaria?

2. Describe un caso donde usaste análisis causal para evaluar el impacto de una estrategia de media.

3. ¿Cómo manejarías datos de baja calidad al entrenar un modelo de segmentación de audiencias?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓3+ años de experiencia en ciencia de datos (o 2 años con potencial de crecimiento)
  • ✓Dominio de Python y SQL para manejar grandes conjuntos de datos
  • ✓Experiencia en ML supervisado: clasificación y regresión con juicio en elección de métodos
  • ✓Conocimiento en diseño de experimentos y análisis causal (A/B tests, métodos cuasi-experimentales)
  • ✓Capacidad para traducir insights en recomendaciones accionables para clientes
  • ✓Habilidades de comunicación para presentar hallazgos a equipos multidisciplinarios

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLMachine LearningSupervised LearningClassificationRegressionCausal InferenceQuasi-Experimental MethodsA/B TestingForecasting Models

Who should you write to at wppmedia?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . 3004 - Data Scientist - Marketing Science - UK Role Summary and Impact This mid-level Data Scientist role is a key role within the Marketing Science team. In this role, you will apply data-driven insights and advanced analytics to help optimise our clients' advertising campaigns and media strategies. The Marketing Science team is responsible for accelerating our clients’ growth by integrating data and analytics into marketing decision making; applying scientific rigour to marketing theory to generate data driven insight, capabilities, and consultancy. Specifically the Data Science team are a team of data practitioners who are passionate about the applications of data science within the field of marketing to make advertising better for brands and consumers; driving effective outcomes in the most sustainable way possible. They bring data to life in scientific ways to provide insight, recommendations and innovations relating to client marketing strategies from planning, audience, optimisation and measurement Your primary objective will be to leverage data analytics and machine learning techniques to drive measurable improvements in our clients' advertising campaigns. You will contribute to the development of data-driven solutions that optimize media spend, enhance audience targeting, and increase overall campaign effectiveness. Your work will directly impact our agencies ability to deliver superior results for our clients in the competitive digital advertising landscape. This role would suit a mid-level Data Scientist with around 3+ years experience, or a Junior with a couple of years relevant professional experience and ready for a step up. Responsibilities Specific responsibilities include but are not limited to: • Develop and maintain media buying optimization algorithms through AI and ML to drive greater campaign outcomes against an array of KPIs • Create audience segmentation and addressability models to enhance targeting precision across multiple targeting keys • Generate actionable campaign insights from complex datasets to improve campaign planning through actionable insights • Implement yield management strategies to maximise supply utilisation across the addressable TV portfolio • Build and refine forecasting models for campaign performance for multiple channels • Design and analyse A/B tests to improve campaign effectiveness measurement • Assist in developing robust campaign measurement methodologies Modelling and methods • Strong Python and SQL, comfortable working with large, imperfect datasets. • Supervised machine learning across classification and regression, with the judgement to choose the right approach for the problem rather than defaulting to one method, including where standard linear assumptions do not hold, and quantifying uncertainty where a forecast carries commercial weight such as pricing or guarantees. • Experience with experimental design, causal inference and quasi-experimental methods, including geographic experi

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