Data Scientist

2 months ago

London, Greater London, United Kingdom Publicis Groupe Full time

About Publicis Groupe

Publicis Groupe is a global leader in marketing, communications, and digital solutions. We are driven by innovation and creativity to help our clients connect with their audiences in meaningful ways.

Role: Data Scientist - Creative Marketing Technology

We're seeking a passionate Data Scientist to join our team and shape the future of Machine Learning & Generative AI applied to creative marketing technology. Leveraging expertise in MarTech and AdTech, you'll build high-quality datasets, power innovative models, and develop robust marketing analytics tools for our proprietary platform, DCE.

DCE is a dynamic platform designed to deliver effective, personalized communications at scale. It combines an innovative approach to the ideation and development of dynamic creative with a tech platform that automates delivery and optimization in social and programmatic platforms. This ensures both effectiveness (more positive outcomes) and efficiency (positive outcomes that cost less).

Responsibilities
  • Own end-to-end delivery of actionable model outputs, data products, and insights for DCE, involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms.
  • Automate data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale.
  • Design, measure, and refine campaign studies backed by data intelligence across multiple data sources and objectives.
  • Collaborate with stakeholders to share outputs and contribute to the design and delivery of new features leveraging models and data. Handle data imperfections and validate data integrity for modelling purposes.
  • Report to the Head of Product, supporting the rollout of new data products and machine learning models, and transformation of data, reporting, and analytics.
Qualifications
  • Possess a bachelor's or master's degree (or equivalent) in Data Science, Computer Science, Mathematics, or a related quantitative field.
  • Experience using SQL to extract data from internal databases and leverage Python for data acquisition from external sources (APIs/web scraping).
  • Skilled in data visualization tools (e.g., Tableau) and creating clear, concise data summaries (e.g., PowerPoint) for diverse audiences, including senior leadership.
  • Proficient in Python and familiar with machine learning frameworks.
  • Possess an intermediate to advanced understanding of Artificial Intelligence and Machine Learning concepts. (Bonus: Deep understanding of Generative AI models)

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