Maintain and enhance core Python modelling tools for the Marketing Effectiveness team
Manage the migration of manual workflows into automated, production-ready software
Develop in-house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition
Provide technical support, diagnosing and resolving complex bugs in tools and innovation products
Liaise with analytical stakeholders to ensure technical builds directly solve domain-specific problems (MMM/Econometrics)
Responsible for the configuration and accuracy of innovation products used in client delivery
Produce comprehensive technical documentation and advocates for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood
Actively mentor Junior Engineers, providing guidance and participate in peer code reviews to ensure team-wide quality

Strong Python engineering skills, writing clean, modular, and production-ready code
Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics
Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences
Strong command of software development fundamentals, including version control (Git) and agile methodologies
Proficiency in SQL for robust data extraction, manipulation, and analysis
An academic background in a relevant field such as Computer Science or Data Science

Data Science Engineer

Key skills