Data Scientist at EDF
Clément Rieux
I build machine learning models that hold up outside the notebook: time series forecasting, computer vision, scoring. Most of my work is the part that rarely makes it onto slides: sound validation, honest numbers and pipelines that keep running.
What I work on
Data science
Since 2019 I have been turning data into decisions for large energy and telecom companies: forecasts, classification, text analysis, models that go into production. I work in Python and R, from the first exploration to the pipeline that runs every morning.
AI agents & LLMs
I design, build and deploy tools based on language models: agents that carry out multi-step tasks, assistants connected to internal data, automations that save hours every week. I use them daily in my own work, with the safeguards that make them reliable.
How I work
I like hard, quantitative problems, and I like explaining them simply. Consulting, teaching and competing have taught me to stay precise under pressure and to get the best out of a team.
Athletic background
I compete in athletics at national level in the javelin. Sport has shaped the way I work: discipline, patience and the habit of measuring progress honestly. I also apply data to training: workload, recovery and performance.