AI CoE Leader: Scale, Industrialize & Deliver

SCOR Group; Paris; Hybride; EUR 150 000 - 190 000; Plein temps

Résumé du poste

SCOR is seeking a Head of the AI Center of Excellence to define, industrialize, and scale AI capabilities across the enterprise. This role supports AI foundations and AI deliveries requiring AI skills, acting as a delivery accelerator for business teams to build, deploy, and scale AI solutions.

The role covers data, model development, deployment (MLOps/LLMOps), Responsible AI, and value measurement with a strong focus on reuse and business impact, operating under Agile and ensuring high-quality

Qualifications

• 7+ years of data science experience with solid programming and ML techniques.
• Advanced knowledge in a core DS area (Image Processing, NLP, Survival Analysis, etc.).
• Promotes coding best practices across the community and mentors others.
• Experience managing teams/squads and resource allocation.
• Can orchestrate resource planning and act as technical lead or product owner on complex projects.
• Ability to deliver full project documentation for clients and stakeholders.

Responsabilités

• Manage resources to support AI flagship initiatives.
• Industrialize AI solutions and ensure CI/CD and SDLC adherence.
• Lead AI lifecycle delivery across data, model development, deployment, and value measurement.
• Ensure best practices and AI delivery framework across projects.
• Collaborate with cross-functional teams to enable scale and reuse of AI capabilities.

Connaissances

Data Science

Machine Learning

Leadership

Resource Planning

Code Review

MLOps

Cloud Computing

Python

Formation

Master’s degree

PhD preferred

Outils

Kubernetes

PostgreSQL

Azure

FastAPI

CI/CD

SDLC

Description du poste

SCOR is seeking a Head of the AI Center of Excellence to define, industrialize, and scale AI capabilities across the enterprise. This role supports AI foundations and AI deliveries requiring AI skills, acting as a delivery accelerator for business teams to build, deploy, and scale AI solutions.

The role covers data, model development, deployment (MLOps/LLMOps), Responsible AI, and value measurement with a strong focus on reuse and business impact, operating under Agile and ensuring high-quality