Data Analytics Apprentice

Posted 4 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
Entry level
Insurance
The Role
Support development and maintenance of Power BI dashboards and KPIs; analyze and transform data using SQL in Databricks; perform data quality checks and validation; contribute to AI prompt engineering and Copilot agents; automate processes with Power Automate; collaborate with stakeholders and document processes.
Summary Generated by Built In

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.

Responsibilities

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.
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

  • Power BI
  • SQL (using Databricks)
  • Power Automate
  • Microsoft Copilot for data and reporting tasks
  • Python
  • Advanced Excel (formulas, pivot tables, data analysis)
  • Currently enrolled in a Master's degree (Bac+4/Bac+5) in Data Analytics, Data Science, AI, Computer Science, or Engineering and seeking a 12–24 month apprenticeship
  • Strong interest in data analytics, BI, process automation, and Generative AI
  • Familiarity with Microsoft Copilot Studio or SharePoint Agents or similar AI platforms
  • Exposure to Databricks and AI technologies / Generative AI
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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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