WPP Media - Associate Director, Data Science and Solutions, UK
Requirements
• 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). • Advanced Data Science & Machine Learning: • 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. • Modelling Specialisation: • 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. • Technical Proficiency: • Data Engineering & Architecture Understanding:Solid understanding of data warehousing concepts, ETL processes, and cloud platforms (e.g., GCP, AWS, Azure) and their data services. • Data Engineering & Architecture Understanding: • 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. • Tool & Product Development: • AI & Generative AI:Proven ability to identify and implement AI-driven solutions to enhance analytical capabilities and efficiency. • AI & Generative AI: • Data Visualisation & UI:Proven ability to visualise data in a user-friendly manner and understand the needs. • Data Visualisation & UI: • Leadership & Management Capabilities: • Substantial experience in data science roles, ideally within the media industry, with proven experience in technical leadership and project management • Proven ability to manage complex data science projects from conception to delivery, ensuring adherence to timelines and budget. • Exceptional ability to communicate complex technical concepts to non-technical stakeholders, translate business requirements into technical specifications, and manage expectations effectively. • Domain Knowledge & Business Acumen: • Deep understanding of the media landscape, advertising ecosystems, and key performance indicators (KPIs) relevant to media effectiveness, measurement, and optimisation. • Awareness of the commercial implications of analytical work and a track record of contributing to value through data science initiatives. • Familiarity with data governance, privacy regulations (e.g., GDPR), and ethical considerations relevant to public sector data usage in the UK. • Personal Attributes: • A highly curious and innovative mindset, constantly seeking new technologies and methodologies to solve complex problems. • Exceptional analytical and problem-solving skills, with a methodical approach to tackling challenges. • Excellent verbal and written communication skills, with the ability to present findings clearly and persuasively. • Strong collaborative spirit, capable of working effectively with cross-functional teams and across the wider organisation.
Benefits
• Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. • We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
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