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Salary
≈ $24k – $46k per year (Estimated)
Location
In office (Paris)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 17, 2026. SCOR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SCOR is a French global reinsurance group headquartered in Paris that provides property and casualty and life and health reinsurance, specialty insurance and investment solutions to insurers and corporate clients. Created in 1970 with the backing of the French government as Societe Commerciale de Reassurance, it is a listed Societas Europaea with offices across Europe, the Americas and Asia, including a large service centre in Bucharest. It hires actuarial, underwriting, legal, finance, data and IT staff such as data engineers, QA engineers and AI engineers, and runs graduate programmes and internships in actuarial work, sustainable finance and audit.

We are looking for a Finance Integration & Solutions Augmentation Apprentice to join our

Finance Technology team.

You will contribute to innovative initiatives leveraging Data, Artificial Intelligence, and

enterprise technologies to support the modernization and digital transformation of Finance

processes across SCOR.

Working alongside Finance, Technology, Data, and Business teams, you will gain hands-on

experience on strategic projects involving data platforms, AI solutions, systems integration,

and process automation.

Artificial Intelligence &Innovation

  • Support the identification and assessment of AI use cases within Finance.
  • Participate in the development and testing of AI-driven solutions and Proofs of

    Concept.

  • Contribute to process automation and productivity improvement initiatives.
  • Assist in the analysis of emerging AI technologies and market trends.
  • Support the preparation of presentations and materials related to Data & AI

    initiatives.

Technology & Integration

  • Participate in data integration and transformation projects across Finance

    applications and platforms.

  • Contribute to the design and monitoring of data flows between enterprise systems.
  • Support the implementation of reporting, analytics, and dashboard solutions.
  • Assist with testing, documentation, and deployment activities.
  • Help identify opportunities to improve data quality, operational efficiency, and user

    experience.

  • Currently pursuing a Master's degree in Data Science, Artificial Intelligence, Computer Science, Information Systems, Engineering, Finance, or a related field.
  • Strong interest in Data, AI, and digital transformation.
  • Basic knowledge of SQL, Python, Data Analytics, or Business Intelligence tools is a plus.
  • Curious, analytical, and eager to learn in a fast-paced international environment.
  • Strong communication and teamwork skills.
  • Professional proficiency in English.
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