Teams at Zepz

Partners with stakeholders to provide financial insights, manage cost-centre reporting, deliver forecasts, track budgets, and improve cost efficiency. The role analyzes financial data, communicates performance narratives to leadership, advises on business decisions, improves reporting processes, and identifies opportunities to increase profitability. It requires a qualified accountant with strong analytical, collaboration, influencing, forecasting, and AI-literacy skills.

The Senior Marketing Data Scientist will measure and optimize marketing performance using marketing mix modeling, attribution, customer lifetime value analysis, experimentation, and causal inference. Responsibilities include building scalable data pipelines, automating model deployment and monitoring, creating dashboards, analyzing campaigns, and communicating insights to executives. The role requires strong Python and SQL skills, experience with open-source marketing mix models, marketing analytics expertise, and the ability to lead projects independently.

Respond to and investigate security incidents, manage threat and vulnerability programs, operate SIEM and EDR tooling, develop incident response runbooks, automate security workflows, lead phishing and security awareness campaigns, and support purple team exercises. The role also owns vulnerability reporting, remediation metrics, stakeholder communication, and continuous improvement of security operations.