Data Scientist (AI/ML)

TL;DR

Data Scientist (AI/ML): Building and deploying predictive models for media/marketing solutions with an accent on machine learning, statistical algorithms, and Google Cloud technology. Focus on optimizing media investments, establishing MLOps processes, and handling large, messy datasets for actionable insights.

Location: Hybrid (London, UK). Office attendance required approximately four days a week in London. Must have the right to work in the UK.

Company

hirify.global is WPP’s global data products and technology company, building a fast, connected data platform for marketing transformation using AI-enabled media and data.

What you will do

• Create, manage, and improve models to measure, optimize, and activate media campaigns.
• Build industry-relevant predictive models to optimize customer media investments.
• Document analytics projects to ensure processes are replicable and scalable across clients.
• Build content for presentations demonstrating the performance and value of statistical and predictive models.
• Deliver robust mathematical analysis and produce high-standard campaign reports and proposals.
• Establish MLOps processes leveraging the GCP toolset.

Requirements

• Hands-on experience with building machine learning models using Python.
• Education and background in machine learning, computer science, physics, applied mathematics, or statistics.
• Hands-on experience developing complex query structures with SQL and/or NoSQL.
• Hands-on experience working with GCP’s AI Capabilities, including BigQuery ML and Vertex AI.
• Hands-on experience with machine learning techniques (TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLib) and understanding of deep learning techniques.
• Understanding of or experience in software engineering best practices, DevOps, and MLOps.
• Solid grounding in applied mathematics (especially optimisation and graph theory) and statistics.
• Commercial or academic experience in developing ML & AI solutions using Python/R.
• Capabilities in data engineering, data modeling, and complex big data analysis.
• Strong business analysis, communication, and presentation skills.
• Must have the right to work in the UK.

Nice to have

• Experience in Google Marketing Platform and the use of Ads Data Hub.

Culture & Benefits

• Access to global WPP Media & WPP networks for professional growth and learning.
• Variety of employee resource groups and frequent in-office events.
• Competitive medical, vision, and dental insurance, and group retirement plans.
• Significant paid time off and employee mental health awareness days.
• Flexible hybrid work approach, with teams in the office around four days a week.