Data Scientist

WPP is the trusted growth partner for the world’s leading brands. 

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. 
 
We have been building the world's most valuable brands for 50 years and have global reach across 100+ markets, with deep local expertise.
 
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. 
 
For more information, visit WPP.com.
 

WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation.  

WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. 

We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. 

 

Who we are looking for

A proactive and highly skilled Data Scientist, eager to apply and advance expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse, extract, and drive insights from complex datasets within our core HQ team. This individual will take ownership of key data science initiatives, developing and optimising solutions that deliver significant business value. This role is fundamental to sustaining momentum on high-impact projects and is crucial for embedding core data science intelligence and building institutional knowledge. The position requires lateral thinking and strategic problem-solving, ensuring a direct and embedded contribution to our solutions enhancement work. 

Key Skills: 

• 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. 

Description: 

• Drive the development and implementation of data science algorithms for critical strategic initiatives, including but not limited to 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 optimize 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 team's 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. 

Education: 

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. 

Ideal Certifications: 

• Python for Data Science (Coursera/similar advanced program) 

• Google Cloud Machine Learning Engineer (Associate/Professional) 

 

 

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

 

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.