Senior Data Scientist - Media Optimisation

Title: Senior Data Scientist, Media Optimization

Location: London

Reporting to: VP, Data Science, Optimization

Who we are:

Choreograph is WPP's global data products and technology company. We are 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 are endlessly curious. Our team of thinkers, builders, creators, and problem solvers are over 1,000 strong, across 20 markets around the world.

About the Media Optimization product:

The Media Optimization product is an AI-powered platform that enables media traders to deploy complex buying strategies and deliver better outcomes for our clients at scale. We are trusted by our clients to manage hundreds of millions of media spend. Our proprietary algorithms, developed in-house, enable the platform to optimize budgets and targeting daily across the globe. Our goal is to further innovate these algorithms and expand into more digital advertising platforms.

About this role:

We seek a Senior Data Scientist to enhance our proprietary algorithms and incorporate the latest ML/AI advances. Reporting to the VP of Data Science, you will join a growing team of data scientists. The ideal candidate will have a background in optimization, strong statistical skills, and experience with cloud technologies. You must be capable of quickly understanding and customizing complex in-house systems, with model deployment or software development experience being highly desirable. We value team players passionate about applying data science to solve complex problems and drive innovation.

Key Responsibilities:

• Enhance existing algorithms and develop new data science features
• Design and contribute to end-to-end machine learning pipelines
• Implement explainability frameworks to ensure transparency and compliance
• Collaborate with stakeholders to translate business needs into technical solutions
• Conduct model testing and validation for robustness and accuracy
• Document and communicate complex model behaviors and insights
• Stay updated on academic and industry advancements in optimization and AI/ML
• Share knowledge and support the wider team and community

Essential qualifications:

• Bachelor's or master's in Data Science, Computer Science, Engineering, Statistics, or related field
• Hands-on experience with optimization algorithms or related ML disciplines, preferably with practical, real-world data experience
• Proficiency in Python (and ML frameworks) and SQL
• Experience with cloud technologies (AWS or GCP)
• Exposure to model deployment and software development
• Strong statistical and machine learning knowledge
• Effective communication skills and a collaborative attitude

Highly desirable qualifications:

• Experience with Airflow
• Commercial software development experience
• ML Ops experience

This is a UK-based role and requires candidates to have the right to work in the UK.

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