Internal Audit AI & Data Apprentice

Join SCOR Group Internal Audit in a unique apprenticeship at the heart of AI transformation offering a rare opportunity to experience from the inside how AI is deployed and scaled across a global organisation. You will combine a dual role:

• (1) Shape the future of digital auditing by developing AI-driven solutions
• (2) Audit AI practices across SCOR gaining hands-on exposure to governance risks and implementation over time

This role is a strong accelerator to leverage and expand your expertise tackle real business challenges and deliver tangible impact.

Under the supervision of the Internal Audit Quality &Performance Manager the apprentice will contribute to:

AI Data Analytics & Digital Innovation for Internal Audit

• Support the transformation of the audit life cycle through automation integration of AI and data analytics across the audit lifecycle improving the efficiency scalability and value of audit activities within the Internal Audit ecosystem.
• Design and develop AI-driven tools and agents taking part in their full lifecycle (from ideation to deployment and testing) enhancing how audit work isN performed and insights are generated.
• Design advanced analytics dashboards and visualizations to provide clearer more actionable insights on audit performance risks and key trends.
• Continuously explore emerging AI technologies and market best practices to help position Internal Audit at the forefront of innovation.

AI &Technology Audits

• Gain hands-on experience in auditing Artificial Intelligence data and technology risks within a global organization.
• Build a 360 view of AI deployment across SCOR assessing how solutions are designed implemented and scaled in practice.
• Support the evaluation of governance risk management frameworks internal controls and regulatory compliance related to AI and technology.
• Participate in end-to-end audit activities including preparation stakeholder interactions testing analysis of evidence and report drafting.

Collaboration &Communication

• Work in an international environment collaborating with auditors and experts across functions and geographies.
• Translate technical analyses and AI prototypes into clear business-focused insights for diverse stakeholders.
• Contribute to fostering a culture of innovation experimentation and continuous improvement within Internal Audit.

Required experience &competencies

• Strong organizational communication critical thinking and scientific rigor skills
• Proficiency in AI models code and tools: LLMs specialized language models AI software automation systems and multi-agent systems
• Adaptability flexibility and commitment
• Good level of English both written and spoken

Required Education

Currently pursuing a Masters degree (Master 1 or Master 2 / Bac4Bac5) in Artificial Intelligence Data Science Computer Science Information Systems Engineering or a related field.