Director, Data Science (AI Engineering)

TL;DR

Director, Data Science (AI Engineering): Leading the team in the development and deployment of predictive models for media/marketing solutions, enhancing our customers' media investments with an accent on the application of machine learning and statistical predictive algorithms on top of the Google technology stack and agent development. Focus on building out industry-relevant predictive models that can be applied to optimize our customers' media investments and ensuring comprehensive documentation of data science projects.

Location: Teams in the office around four days a week. This is a UK based role and requires individuals to have the right to work in this location

Company

hirify.global is WPP’s global data products and technology company, transforming marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

What you will do

• Lead the team in the creation, management, and continuous improvement of AI/ML and models and agents used to measure, optimize, and activate business transformation.
• Drive the development and deployment of industry-relevant strategies and solutions.
• Ensure comprehensive documentation of data science projects, establishing best practices for replicable and scalable analytical processes across clients.
• Oversee the delivery of robust mathematical analysis, ensuring accuracy and strategic relevance.
• Achieve continuous improvement by proactively assessing hirify.global's working relationships, practices, and methods, and implementing enhancements.
• Lead the establishment and optimization of MLOps processes leveraging the GCP toolset.

Requirements

• Hands-on experience with building out machine learning models with Python, in a leadership or senior mentorship role.
• Advanced education and background in machine learning, computer science, physics, applied mathematics, or statistics.
• Expert-level hands-on experience in developing complex query structures with SQL and/or NoSQL query languages, and experience guiding others.
• Expert-level hands-on experience working with GCP’s AI Capabilities, including leveraging BigQuery ML, Vertex AI, and other relevant services.
• Extensive hands-on experience with a broad range of machine learning techniques using (TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLib).
• Significant commercial or academic experience in leading the development and deployment of complex ML & AI solutions using Python/R.
• Please note this is a UK based role and requires individuals to have the right to work in this location

Nice to have

• Advantageous to have extensive experience in Google Marketing Platform and the use of Ads Data Hub.

Culture & Benefits

• WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising.
• A variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events.
• Benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
• Hybrid approach, with teams in the office around four days a week.