As an internship in the APP & AI Team, you will work closely with our AI and Data Science experts, focusing on developing and optimizing AI-driven solutions. You will report directly to a Senior Engineer and contribute to projects that leverage cutting-edge technologies to address environmental challenges.

What you’ll do :

Data Processing & Enrichment

• Research and collect new data sources (e.g., greenhouse gas emissions, protected areas, geo-environmental data). Clean, preprocess, and enrich datasets to ensure accuracy and relevance.

Automation & Data Extraction

• Leverage Machine Learning models and LLMs to automatically extract and structure data from unstructured documents (e.g., RAG, web crawling). Develop and maintain scalable data pipelines for efficient information retrieval.

Pipeline Optimization

• Evaluate and enhance data extraction pipelines to improve result quality and expand data coverage.

Database Management

• Collaborate with technical teams to evolve and maintain our database infrastructure.

Advanced Analytics

• Conduct regular analyses to assess the quality of our environmental scores and propose actionable improvements.

Technical Environment

• Backend development and automation scripts - Python (FastAPI, Airflow)

• Database management and search (Elasticsearch, PostgreSQL, Redis, Weaviate

• Knowledge in TypeScript, Frontend development and internal tools is a plus.

• Knowledge in Docker, Kubernetes, Deployment and infrastructure management is a plus.

Why join us

• A structured internship with hands-on experience in AI & Data Science

• A meaningful internship with real-world impact on environmental and technological innovation.

• Personalized mentorship to grow your expertise in cutting-edge technologies (LLMs, RAG, etc.).

Who you are

• Currently pursuing a degree in Data Science.

• Passion for AI, NLP and environmental challenges.

• Familiarity with databases (e.g., PostgreSQL, Elasticsearch) and data processing tools (e.g., Pandas, Polars) is a plus. We welcome candidates who have explored these tools in academic projects, personal projects, or previous internships, no professional experience required!

• Strong analytical skills, curiosity, and ability to thrive in a collaborative environment.

• First phone interview with the HR team

• Follow-up interview with the manager and part of the team