Data Scientist – Analytics

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.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

3 to 10 yrs of experience  
Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.  
Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.  
Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.  
Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.  
Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.  
Assist in the development and implementation of data science algorithms for various strategic initiatives   
Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.  
Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.  
Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.  
Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.  
Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.  
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.  
Python for Data Science (Coursera)  
Google Cloud Machine Learning Engineer (Associate)