AI & Data Apprentice

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry

• actuaries, data scientists, underwriters, risk modelers, engineers, and many others
• as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

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 organization and shape the future of digital auditing by developing data and AI-driven solutions.

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

Responsibilities

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

• 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 is 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.

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.

Qualifications

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 Master's degree (Master 1 or Master 2 / Bac+4-Bac+5) in Artificial Intelligence, Data Science, Computer Science, Information Systems, Engineering, or a related field.