Finance Integration & Solutions Augmentation Apprentice

Posted Yesterday
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Paris, Île-de-France, FRA
In-Office
Entry level
Insurance
The Role
Supports Finance Technology initiatives involving AI use cases, AI solution development, data integration, process automation, reporting, analytics, and enterprise system transformation. The apprentice assists with proofs of concept, data flow monitoring, testing, documentation, deployment, and data quality improvements while collaborating with Finance, Technology, Data, and Business teams.
Summary Generated by Built In

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.

Responsibilities

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.
Qualifications
  • 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.
About Us

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.

Skills Required

  • 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, artificial intelligence, and digital transformation.
  • Curious, analytical, and eager to learn in a fast-paced international environment.
  • Strong communication and teamwork skills.
  • Professional proficiency in English.
  • Basic knowledge of SQL, Python, data analytics, or business intelligence tools.
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The Company
HQ: Paris, Paris
4,492 Employees

What We Do

SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.

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