AREP

About the Company

AREP is a multidisciplinary practice which brings together the specialities and areas of expertise essential to provide practical solutions, through its EMC2B approach, to the ecological emergency. Present both in France and abroad, with nearly 1,000 people of 30 different nationalities, AREP contributes to research, public dialogue and shifting practices through its publications.

Listed Jobs

Company Name

AREP

Job Title

Stage - Environnement et numérique - Paris (3 à 6 mois) - F/H

Job Description

**Job Title** Environmental & Digital Intern (3‑6 months) **Role Summary** Support the Environmental Workshop in extracting, analyzing, and visualizing data from AREP’s proprietary carbon and material database. Apply data‑science, visualization, and machine learning techniques to generate actionable insights on material distribution, carbon impact, circularity, criticality, and decarbonisation potential for construction projects. **Expectations** - Master’s‑level student in engineering, architecture, or a related discipline. - Rigorous, organized, and proactive with strong teamwork skills. - Passion for digital tools, data processing, and sustainability. - Ability to communicate results clearly through graphics. - Curious, dynamic, and able to work in a fast‑paced, multidisciplinary environment. **Key Responsibilities** - Participate in defining the project scope and work plan. - Gather and clean input data from various sources (project indicators, media library, PEMD diagnostics). - Conduct multi‑criteria analyses of projects using the 12 EMC2B indicators. - Develop and apply data‑science pipelines (Python) and basic machine‑learning models. - Create interactive visual dashboards and graphics to illustrate findings. - Provide recommendations for a progress plan and support deliverable preparation. - Collaborate with engineers, architects, and data‑team members to ensure alignment with eco‑design goals. **Required Skills** - Proficient in Python (data handling, pandas, NumPy, visualization libraries). - Experience with data visualization tools (e.g., matplotlib, seaborn, PowerBI, Tableau). - Basic understanding of machine‑learning concepts. - Familiarity with construction materials, carbon accounting, or life‑cycle assessment is a plus. - Strong analytical, problem‑solving, and documentation abilities. - Excellent written and verbal communication in English (French optional). **Required Education & Certifications** - Currently enrolled in a Master’s program (or equivalent) in engineering, architecture, environmental science, data science, or related field. - No specific certifications required.

Paris, France

On site

06-11-2025

Company Name

AREP

Job Title

Stage - IA générative et évolution des pratiques de conception - Paris (3-6 mois) - F/H

Job Description

Job Title: Internship – Generative AI and Design Practice Evolution – Paris (3‑6 months) Role Summary: Support the Engineering Director in implementing AREP’s Generative AI roadmap by monitoring industry trends, translating team needs into AI solutions, and piloting experimentation across design, cross‑functional usage, and knowledge management. The role bridges technical innovation with sustainable design practice. Expectations: - Third‑year engineering student in a generalist program (or equivalent). - Passion for built environment, construction, and eco‑design. - Strong interest in generative AI technologies. - Proficient in one or more coding languages (Python, JavaScript, etc.) and hands‑on experience with generative AI tools. - Excellent written and verbal communication, and strong relational skills. - Curious, proactive, and dynamic. Key Responsibilities: 1. **Acculturation** - Conduct technical and regulatory monitoring of emerging generative AI use cases. - Disseminate insights via company communication channels. 2. **Animation** - Identify and document needs expressed by design and engineering teams. - Translate everyday pain points into concrete, frugal AI‑generated solutions, from proof‑of‑concept to production. 3. **Experimentation** - Source market‑developed solutions that meet AREP’s design, cross‑functional, and knowledge management requirements. - Support adoption tracking and iterative improvement with end users. Required Skills: - Coding proficiency (Python, JavaScript, or comparable). - Experience experimenting with generative AI platforms (e.g., GPT, Midjourney, Stable Diffusion). - Ability to research and interpret technical literature and regulatory frameworks. - Strong stakeholder communication and project facilitation. - Analytical mindset for feasibility assessment and continuous improvement. Required Education & Certifications: - Current enrollment in a third‑year or equivalent engineering program (generalist). - Coursework or project experience in data science, AI, or related fields is advantageous. - No additional certifications required, but knowledge of sustainable design principles welcomed.

Paris, France

Hybrid

01-12-2025