Data Modeler

il y a 2 jours

Paris, Île-de-France SCOR Temps plein

At SCOR, data is a strategic enabler of our Forward 2026 plan. The Data Platform team plays a pivotal role in this transformation by delivering robust data architecture and models that support analytics and business decision-making. s information systems.

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.

We are seeking a Data Modeler to join our dynamic Tech team. The ideal candidate is an excellent communicator and a strong critical thinker. You will work closely with stakeholders to design, improve, and maintain data models that support SCOR's data-driven initiatives. You will also contribute to data governance, ensure model consistency, and collaborate with architects and analysts to deliver high-quality data assets.

Key duties and responsibilities

  • You design and maintain conceptual, logical, and physical data models aligned with business needs.
  • You contribute to the development of analytical data models that support analytics products and self-service analysis.
  • You collaborate with Tech and Enterprise Architects to align data models with enterprise architecture.
  • You participate in the Data Modeling chapter to promote best practices and standardization.
  • You ensure data models comply with governance policies and support data quality frameworks.
  • You support metadata documentation, data lineage, and business definitions in collaboration with data stewards.

Required experience & competencies

  • Proven experience in data modeling, including conceptual, logical, and physical models.
  • Proficiency in PySpark or SQL and knowledge of data architecture patterns.
  • Knowledge of data plateforms such as Databricks or Palantir Foundry is a plus.
  • Understanding of data governance, metadata management, and data privacy.
  • Strong analytical thinking, autonomy, and a collaborative mindset.
  • Excellent communication skills and ability to work in a multicultural, matrix environment.

Required Education

  • Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience

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