Data Scientist – Analytics

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.

About WPP Media  

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.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  

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:  

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.  

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.  

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.  

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.  

Key Skills

• 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.  

Description

• 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.  

The rest of this description is on the employer’s own page.