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.
The P&C Operations team plays a key role in supporting SCOR's Property & Casualty business by driving operational efficiency, data quality, and analytics capabilities across underwriting and support functions.
As a Data Analyst Alternance within the P&C Operations team, you will contribute to the development and enhancement of data-driven solutions that support operational processes and decision-making.
- Support the development and maintenance of operational dashboards, KPIs, and management reporting (e.g., exception report, operational monitoring dashboards).
- Analyze business and operational data using SQL in Databricks.
- Develop impactful visualizations using Power BI.
- Support data quality checks, transformation, and validation to ensure accuracy and reliability.
- Contribute to SCOR's growing AI and digital transformation initiatives by designing and optimizing prompts, improving AI-generated responses, testing agent capabilities, and helping business teams leverage Generative AI technologies to enhance productivity, knowledge discovery, reporting, and decision-making.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
This apprenticeship offers exposure to data engineering, analytics, and visualization within a global reinsurance environment, providing hands-on experience with modern tools and methodologies.
Key duties and responsibilities:
Business Intelligence & Reporting
* Develop and maintain Power BI dashboards and operational reports.
* Design visualizations and KPIs to support management reporting and operational monitoring.
* Assist in gathering business requirements and translating them into reporting solutions.
* Participate in dashboard testing, validation, and user support activities.
Data Analysis & Data Management
* Extract, transform, and analyze data using SQL in Databricks.
* Investigate data quality issues and propose corrective actions.
AI & Prompt Engineering Responsibilities
* Support the design, testing, and continuous improvement of AI-powered assistants and
Copilot agents for business users.
* Create, refine, and optimize prompts to improve the quality, accuracy, and relevance of AI-
generated outputs.
* Participate in user testing and validation of AI agent responses to ensure alignment with
business expectations.
* Analyze user feedback and identify opportunities to enhance agent performance and user
experience.
Process Automation
* Contribute to automation initiatives using tools such as Power Automate and AI Prompts in
copilot.
* Identify opportunities to reduce manual effort through automation and process optimization.
Operational Support
* Collaborate with stakeholders to continuously improve reporting capabilities and operational
processes.
* Participate in documentation, knowledge-sharing, and process standardization activities.
Qualifications
Required experience & competencies
- Business Intelligence (BI) Tools: Power BI
- Data Extraction & Querying: SQL
- Automation & Workflow: Power Automate, Microsoft Copilot for data and reporting tasks
- Programming Languages: Python
- Advanced Excel Skills: Formulas, Pivot Tables, Data Analysis
- AI-Powered Productivity Tools: Familiarity with Microsoft Copilot Studio, SharePoint Agents, or similar AI platforms is an advantage.
Required Education
- Currently enrolled in a Master's degree (Bac+4/Bac+5) in Data Analytics, Business Intelligence, Data Science, Artificial Intelligence, Computer Science, or Engineering, and seeking an apprenticeship contract (alternance) for 12 to 24 months.
- Strong interest in data analytics, business intelligence, process automation, and Generative AI.
- Knowledge of SQL and data visualization tools such as Power BI is preferred. Exposure to Python, Databricks, Microsoft Copilot, or AI technologies would be a strong advantage.
