Orano

About the Company

Opérateur international reconnu dans le domaine des matières nucléaires, Orano apporte des solutions aux défis actuels et futurs, dans l’énergie et la santé. Son expertise ainsi que sa maîtrise des technologies de pointe permettent à Orano de proposer à ses clients des produits et services à forte valeur ajoutée sur l’ensemble du cycle du combustible. Grâce à leurs compétences, leur exigence en matière de sûreté et de sécurité et leur recherche constante d’innovation, l’ensemble des 17 000 collaborateurs du groupe s'engage pour développer des savoir-faire de transformation et de maîtrise des matières nucléaires, pour le climat, pour la santé et pour un monde économe en ressources, aujourd’hui et demain. Orano, donnons toute sa valeur au nucléaire. ______________________________________________________________________________ As a recognized international operator in the field of nuclear materials, Orano delivers solutions to address present and future global energy and health challenges. Its expertise and mastery of cutting-edge technologies enable Orano to offer its customers high value-added products and services throughout the entire fuel cycle. Every day, the Orano group’s 17,000 employees draw on their skills, unwavering dedication to safety and constant quest for innovation, with the commitment to develop know-how in the transformation and control of nuclear materials, for the climate and for a healthy and resource-efficient world, now and tomorrow. Orano, giving nuclear energy its full value.

Listed Jobs

Company Name

Orano

Job Title

Gestionnaire Ressources Humaines F/H F/H

Job Description

Job title: HR Manager (F/H) Role Summary: Provide full administrative support for recruitment processes, collaborate with cross‑functional stakeholders, manage internship and apprenticeship campaigns, and assist in onboarding new hires for the “Aval du Futur” project within Orano Projets. Expectations: - Ensure end‑to‑end recruitment administration meets project deadlines. - Coordinate with HR, Payroll, IT, and other business units. - Support the recruitment and placement of interns and apprentices. - Facilitate a seamless onboarding experience for new employees. Key Responsibilities: - Create and maintain recruitment files from initial posting to candidate arrival. - Liaise with stakeholders (HR, Payroll, IT, Facilities, Training). - Manage internship and apprenticeship recruitment campaigns. - Prepare onboarding materials and schedules for new hires. - Maintain accurate records in HR information systems. - Address administrative queries and provide reporting as required. Required Skills: - Proven experience in HR administrative or recruitment administration. - Strong organizational and detail‑oriented skills. - Excellent communication and collaboration abilities. - Proficiency in MS Office (Word, Excel, PowerPoint). - Familiarity with HRIS and applicant tracking systems. - Ability to work independently and meet deadlines. Required Education & Certifications: - Bachelor’s degree in Human Resources, Business Administration, or related field. - 2+ years of HR or recruitment administration experience. - Knowledge of French employment law is preferred.

Cherbourg-en-cotentin, France

On site

24-12-2025

Company Name

Orano

Job Title

Technicien/Technicienne Prévention Sécurité

Job Description

**Job Title** Safety Prevention Technician **Role Summary** Ensures the implementation and continuous improvement of health and safety practices across the entire facility. Manages accident and incident investigations, risk assessments, training, audits, and liaison activities with internal and external stakeholders to maintain compliance with regulatory and group safety standards. **Expactations** - Maintain up‑to‑date incident and safety event databases. - Provide timely accident declarations and case follow‑ups. - Generate analytical reports and annual safety documentation. - Support the Safety, Health, and Environmental management system (2S) reporting and group AHEAD metrics. - Facilitate safety training, audits, and communication initiatives. **Key Responsibilities** - Investigate work‑related accidents and occupational diseases; prepare root‑cause analyses and recommendations. - Monitor low‑level risk signals and implement preventive actions. - Update safety indicators for internal and group reporting. - Draft annual safety reports and other required documentation. - Conduct field visits and risk analyses; advise operators and installation leaders on preventive measures. - Interface with the Health, Safety, and Environment Committee (CSSCT) on accident analyses and safety visits; follow up on agreed actions. - Update health and safety reference documents; verify transverse procedures under 2S. - Perform regulatory compliance surveillance visits. - Participate in safety improvement projects and audits/inspections. - Organize and deliver safety training sessions. - Manage post‑audit and inspection corrective actions. - Lead periodic safety exchange meetings with external contractors. **Required Skills** - Accident investigation and root‑cause analysis. - Risk assessment and preventive action planning. - Data collection, database management, and reporting. - Strong written and verbal communication. - Familiarity with occupational health and safety regulations. - Ability to conduct training and safety briefings. - Collaborative teamwork and stakeholder liaison. - Detail‑oriented documentation and compliance monitoring. **Required Education & Certifications** - Bachelor’s degree in Occupational Health & Safety, Industrial Hygiene, Environmental Engineering, or related discipline. - Professional safety certification (e.g., NEBOSH, IOSH, or equivalent). - Proven experience in a health and safety role within a regulated industrial setting (preferable).

Chusclan, France

On site

13-02-2026

Company Name

Orano

Job Title

Alternance Data Scientist spécialité Mécanique

Job Description

**Job Title** Apprentice Data Scientist – Mechanical **Role Summary** Work as a liaison between the Data Science team and mechanical engineering units to collect, structure, and model data. Design, develop, and deploy AI solutions—such as document information extraction, OCR, and generative chatbots—on Azure DevOps, and provide user-facing interfaces. Support continuous improvement of tools and communicate results to non‑technical stakeholders. **Expectations** - Act as primary contact for mechanical engineering teams to elicit and formalise data needs. - Independently manage data pipelines and model training workflows. - Demonstrate strong analytical, programming, and machine‑learning skills. - Collaborate within a cross‑disciplinary data science network and contribute to knowledge sharing. - Display motivation, autonomy, and a strong desire to learn. **Key Responsibilities** - Gather and document requirements from mechanical engineering stakeholders. - Collect, clean, and structure heterogeneous data (tabular, technical documents, 2D/3D CAD files, images). - Develop AI/ML solutions: information extraction from documents, OCR, intelligent file search, and domain‑specific LLM fine‑tuning. - Build, test, and deploy models and services using Python libraries (Pandas, NumPy, Scikit‑learn, PyTorch) and APIs (FastAPI). - Containerise applications with Docker and orchestrate on Azure DevOps pipelines. - Release user interfaces to engineering teams and gather feedback for iterative improvement. - Present outcomes and explain AI concepts to technical and non‑technical audiences. **Required Skills** - Strong foundation in linear algebra, probability, and statistics. - Proficiency in Python, including Pandas, NumPy, Scikit‑learn, PyTorch, and FastAPI. - Experience in machine‑learning and deep‑learning model development. - Knowledge of natural language processing and computer vision. - Familiarity with Retrieval‑Augmented Generation (RAG), OCR, and generative AI is a plus. - Experience with Docker, Azure DevOps, and API deployment. - Excellent communication and documentation abilities. **Required Education & Certifications** - Current enrolment in an engineering school or equivalent (Bac+4/5) with a specialization in Data Science/AI, Computer Science, or Applied Mathematics (e.g., X, ENS, CentraleSupélec, Mines Paris, Télécom Paris, ENSTA, ENSAE, Ponts ParisTech). - No mandatory certifications, but knowledge of relevant AI/ML certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate) is advantageous.

Montigny-le-bretonneux, France

On site

05-03-2026