Senior Data Scientist - Media Optimization London,England...

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’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 thinkers,
builders, creators, and problem solvers is 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. This platform
manages hundreds of millions of media spend, utilizing proprietary
algorithms developed in-house and refined over time to optimize
campaign performance daily across global clients. Our ambition as a
Data Science team is to extend this competitive advantage by
innovating our algorithms and expanding into more digital
advertising platforms. About this role: We are seeking a Senior
Data Scientist to enhance our proprietary algorithms and innovate
the product with the latest advances in ML/AI. Reporting to the VP
of Data Science, you will join a small but growing team of Data
Scientists. The ideal candidate will have a background in
optimization (algorithms or related ML disciplines), strong
statistical knowledge, and hands-on cloud technology experience.
The role requires technical competence to learn complex systems
quickly, customize source code, and develop new features from
scratch. Model deployment and software development experience are
highly desirable, but support from our engineering team will be
available. We value team players passionate about applying Data
Science to solve complex problems and drive innovation. You will
have the opportunity to work on cutting-edge challenges, improve
client performance, and collaborate with experienced developers,
product managers, and data scientists who have successfully built
and deployed scalable, global products. Key Responsibilities: -
Improve existing algorithms and develop new Data Science features -
Design and contribute to the end-to-end machine learning pipeline,
including data collection, reprocessing, model training,
simulation, evaluation, deployment, and testing - Implement and
interpret explainability frameworks for transparency and compliance

• Collaborate with stakeholders to translate business needs into
  technical solutions - Conduct rigorous model testing and validation
  for robustness and accuracy - Prepare documentation and reports to
  communicate complex model behaviors and insights - Stay updated on
  academic research and industry advancements in optimization and
  AI/ML - Share knowledge and support the wider team to foster
  innovation Essential Qualifications: - Bachelor's or master's
  degree in Data Science, Computer Science, Engineering, Statistics,
  or related field - Hands-on experience with optimization algorithms
  or related ML disciplines, with practical problem-solving
  experience using real-world data (academic research alone is not
  sufficient) - 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 for
  collaboration across teams - Team-oriented mindset Highly Desirable
  Qualifications: - Hands-on experience with Airflow - Commercial
  software development experience - ML Ops experience Please note
  this is a UK-based role and requires individuals to have the right
  to work in this location. #J-18808-Ljbffr