Lead Data Scientist - DAT

The role is a Lead Data Engineer who will help shape the future of data-driven auditing. With 7–10 years of experience, you will design and maintain scalable data pipelines, ensure compliance with global data regulations (including GDPR), and empower auditors/inspectors with high-quality data and advanced analytics. You will masterize all the datasets of the perimeter assigned to you, becoming the point of contact for all Internal Audit. This is a strategic role offering exposure to cutting-edge technologies, global collaboration, and the opportunity to influence audit practices across the organization. Key Responsibilities • Design, build, and optimize secure, scalable data pipelines for audit use cases. • Collaborate with audit teams and CDOs to understand data needs and deliver compliant, high-quality data products. • Ensure data solutions align with global privacy regulations, including GDPR. • Develop interactive dashboards and reports in Power BI to visualize audit metrics. • Continuously improve data accessibility and quality to support audit missions. • Stay up to date with emerging data engineering tools and audit trends. • Document pipeline architectures, data processes, and compliance measures. • Perform advanced analytics and exploratory data analysis using Python to support audit findings and risk assessments.