Data Scientist

Salary: £64,000 - 104,000 per year

Requirements:

• Strong and demonstrable programming skills in Python and extensive experience using Jupyter notebooks for data analysis and visualisation.
• Proven proficiency in GCP services such as BigQuery, Google Cloud Functions, and Vertex AI.
• Solid understanding and practical application of machine learning techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
• Expert proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
• Excellent communication and presentation skills, with the ability to articulate complex findings, derive strategic insights, and present recommendations to diverse stakeholders independently.
• Ability to work autonomously and demonstrate proactive problem-solving, critical for an embedded HQ role.
• Bachelors Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Ideal certifications include Python for Data Science and Google Cloud Machine Learning Engineer.

Responsibilities:

• Drive the development and implementation of data science algorithms for critical strategic initiatives, including Footfall Accelerator, Guaranteed Outcomes, Total Audio Planner, and Integrated Social.
• Work closely with cross-functional teams to design and execute A/B tests, rigorously analysing results to uncover actionable insights and formulate strategic recommendations.
• Utilise Python and Jupyter notebooks to preprocess, analyse, and model large datasets, identifying trends and patterns that directly inform strategic decision-making and solution enhancement.
• Lead efforts to optimise marketing campaigns and other business processes through advanced data-driven approaches.
• Present findings and strategic insights to internal stakeholders, ensuring clarity, impact, and driving consensus.
• Engage in continuous learning and development to advance data science capabilities, contributing actively to the teams intellectual growth and the evolution of our solutions.
• Act as a critical in-house expert, contributing to an environment of innovative and lateral thinking within the HQ team.

Technologies:

• AI
• BigQuery
• Cloud
• Embedded
• GCP
• Jupyter
• Machine Learning
• Marketing
• Python
• numpy
• pandas

More:

We are WPP, the trusted growth partner for the worlds leading brands, uniting media intelligence, data solutions, creativity, production, enterprise solutions, and strategic counsel through our agentic marketing platform, WPP Open. Our Data & Technology Solutions team is our unified global data products and technology group, working with agencies and clients to build data-driven solutions and technology products that power marketing transformation. We work across more than 100 markets and have a team of over 2,000 people across 20 markets worldwide. We foster a culture of creativity, belonging, continuous learning, and collaboration, and we offer a hybrid working approach with teams in the office around four days a week. We are committed to equal opportunity, respect, and providing exciting career opportunities that help our people grow.

last updated 35 week of 2026