Welcome!
If you’ve landed here, chances are you came from my LinkedIn. This is a quick recap of a fun little solo project I did to explore the most in-demand skills in the data and AI job market in France, as of May 2025.
It was a simple end-to-end (E2E) project, meaning I did everything myself: from gathering the data to exploring it and building the visualizations.
🌌 Explore the Full Galaxy in 4K
All Data & AI Roles

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Data Analyst / Business Analyst

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Data Scientist / ML Engineer

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Data Engineer / Data Architect

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Data Governance

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The idea
Turn the chaos of job listings into a clear visual map of the data and AI landscape:
- Scrape 2,500 job postings using keywords related to data, AI, machine learning, and specific tools and technologies such as Power BI and PyTorch.
- Feed it all into a well-prompted LLM to turn messy job descriptions into clean and structured data.
- Visualize the results as a galaxy of skills, where connections and gravity fields emerge naturally.
Quick explanation of the result
Once cleaned and structured, the data practically organized itself. Visualizing it as a skill galaxy revealed not just which tools and roles dominate the market, but how they connect and cluster in real-world job offers.
Each node represents a skill. The bigger the node, the more frequently it shows up in job postings. The thicker the links, the more often two skills appear together (think SQL & Power BI).
From this emerges a really cooool structure with three main constellations:
- At the top, the Data Science zone, orbiting around the star that is Python.
- At the bottom left, the Data Engineering universe, where a DevOps constellation cuts across the map.
- On the right, the Business Intelligence territory, lit up by a SQL supernova, gently fading into quieter yet essential areas like Governance and Product.
What started as raw text became a map of the Data & AI ecosystem! Alive with connections, gravity, and meaning. 🌌
While you are here 💫
Why not explore more of the blog? You might enjoy these reader favorites 👇 :
- 🧠 Data 101: A Beginner’s Guide to Data & AI: Understand how everyday actions generate data, and what it means for businesses.
- 💾 Data Formats: From CSV to Delta and Beyond: Wondering how to share large datasets the smart way? This one’s for you.👤
- ⚔️ Analytical vs Transactional: Why You Can’t Mix Oil and Water: Learn why not all databases are created equal and why that matters.
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