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PhD in IA & NLP | Senior Data Scientist
🌍 Senior Data Scientist | 🎓 PhD in NLP & AI | 🤖 Information Extraction & LLM Systems With a PhD in Computer Science and 7+ years of experience in NLP and machine learning, I design and build systems that turn complex unstructured data into structured, actionable knowledge. I have worked across document understanding (Esker), supply chain data (Opply), and biomedical AI systems (Elsevier), developing scalable NLP pipelines, LLM-based workflows, and research prototypes. I am particularly interested in applying AI to scientific and real-world challenges, especially in domains such as environmental science, biodiversity, and healthcare, where data-driven methods can support meaningful impact. Recently, I took a 7-month sabbatical to travel slowly through Asia with my partner, focusing on low-impact travel, farm volunteering, and deeper engagement with local cultures and sustainability practices. This experience strengthened my interest in environmental topics and in technology serving long-term societal transitions.
Université Claude Bernard Lyon 1
Research Doctorate, Computational & Applied Mathematics
April 1, 2018 – October 1, 2021
Centrale Lyon
Master of Science (MSc), Engineering
January 1, 2013 – January 1, 2017
Lycée aux Lazaristes
Scientific preparatory classes, PCSI/PC*
January 1, 2011 – January 1, 2013
Lycée Saint-Denis
French baccalaureate, Speciality mathematics
January 1, 2008 – January 1, 2011
Career Break
Travel
October 1, 2025 – May 1, 2026
Asia
Elsevier
Senior Data Scientist
January 1, 2025 – July 1, 2025
Amsterdam, North Holland, Netherlands · Hybrid
Opply
Senior Data Scientist
October 1, 2023 – October 1, 2024
Greater London, England, United Kingdom · Remote
Opply
Data Scientist
March 1, 2022 – September 1, 2023
Greater London, England, United Kingdom · Remote
Esker France
Machine Learning Researcher
April 1, 2018 – October 1, 2021
Esker France
Machine Learning Engineer
January 1, 2018 – March 1, 2018
Esker France
Apprenticeship - Machine Learning Engineer
September 1, 2016 – August 1, 2017
Greater Lyon Area
Party with a Local
Internship - Data scientist
April 1, 2016 – June 1, 2016
The Randstad, Netherlands
ENERGY POOL
Internship - Operations Research Analyst
September 1, 2015 – February 1, 2016
Lyon, France
Thales Avionics
Internship - Modeling and Simulation Engineer
May 1, 2015 – August 1, 2015
Valence, France
MP hygiene
Worker internship
July 1, 2014 – July 1, 2014
Annonay, France
Ski club of Ecole Centrale de Lyon
Active member of the club
February 1, 2014 – January 1, 2015
Family farm
Seasonal work
June 1, 2012 – July 1, 2012
Second-year engineering school project
September 1, 2014 – April 1, 2015
Study of the influence of the viscous behaviour of the SF6 gas in the high-voltage circuit breakers, sponsored by Alstom Grid Implementation within a team of numerical methods of solving under ANSYS Fluent
First-year engineering school project
September 1, 2013 – May 1, 2014
Participated with four students to Campus Creation, an entrepreneurship contest In charge of the market analysis for our business plan Presentation of our project to professional investors
Climate Change AI Summer School 2024
Climate Change AI
June 24, 2026 – Present
GitHub for Data Scientists
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research to industry applications in various domains (biomedical, supply chain, business documents), suggests adaptability. The career break for travel and volunteering indicates a potential interest in social and environmental impact, which could align with certain company cultures. However, the direct alignment with a 'Data Analyst' role is moderate, as much of the experience is heavily skewed towards Data Science and Machine Learning engineering, which are more advanced than typical data analyst responsibilities. While the skills are transferable, the focus is more on model development and deployment rather than pure analytical reporting or dashboarding.
Soft Skills & Operational Fit
The candidate's experience includes cross-functional collaboration with commercial and product teams, project management, and mentoring, indicating strong operational fit and soft skills for a senior role. The career break for travel and volunteering also suggests adaptability and a broader perspective.