Jobs / United Kingdom / WPP Media UK Limited

WPP Media UK Limited

Associate Director, Data Science and Solutions, UK

London, United Kingdom Posted 9 days ago

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  • Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating).
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  • Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
Can’t check pay against the visa rules
No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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About the role

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 . 3177 - Associate Director, Data Science and Solutions, UK Role Summary and Impact About our Data, Tech and Analytics Division We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of analytical thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Our UK Analytics capabilities are central to our success, empowering WPP Media’s clients with a full range of Analytics services that deliver tangible impact. This role sits within the broader WPP Media Analytics structure, drawing on the specialist expertise of Modelling, Analytics Consultancy, and Data Science & Solutions teams. Role Overview The Analytics Associate Director, Data Science, will be a key technical leader within the dedicated Data Science team. This role is responsible for leading the delivery of advanced data science projects, translating complex analytical requirements into robust, implementable solutions, and contributing hands-on to specialised modelling efforts. Working within the wider Analytics team, the Associate Director will apply sophisticated data science techniques to address client communication challenges, enhance media effectiveness, and foster innovation. This position requires deep technical expertise, a proactive problem-solving approach, ensuring the successful execution of impactful data science initiatives. Skills and Experience • Technical Expertise & Data Science Acumen: • Advanced Data Science & Machine Learning: Proven expertise in a wide range of data science methodologies, including statistical modelling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis). • Modelling Specialisation: Demonstrable hands-on experience in specific techniques relevant to media and marketing, such as propensity modelling, attribution modelling, creative analytics, and test & learn methodologies. • Technical Proficiency: Expert-level proficiency in Python. Experience with SQL for data extraction and manipulation is essential. Familiarity with Git, GCP, Docker, Plumber, FastAPI, Shiny, and Django is highly desirable. • Data Engineering & Architecture Understanding: Solid understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., GCP, AWS, Azure) and their data services. • Tool & Product Development: Hands-on experience in developing and maintaining analytical tools, dashboards, and automated solutions. Familiarity with MLOps principles and practices for productising data science models. • AI & Generative AI: Proven ability to identify and implement AI-driven solutions to enhance analytical capabilities and efficiency. • Data Visualisation & UI: Proven ability to visualise data in a user-friendly manner and under

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