Data leader with a PhD in Physics and 8+ years building and scaling machine learning and AI at Veepee, one of Europe’s leading e-commerce groups.
Progressed from full-stack data scientist to Head of Data Science, now leading the personalisation, pricing, forecasting and search domains and the adoption of AI and Generative AI across the business. Core member of the company-wide GenAI initiative, shaping strategy and designing and delivering hands-on LLM training.
Combines deep scientific and statistical foundations (100+ peer-reviewed publications, including in Science and Nature) with proven leadership of multidisciplinary teams and trusted partnership with senior business stakeholders.
Areas of expertise
Data Leadership
Machine Learning
Artificial Intelligence
Generative AI & LLMs
Personalisation & Recommender Systems
Pricing
Forecasting
Search
Team Management
Stakeholder Relations
Communication
Cloud Data Platforms
Professional experience
Veepee
Brussels, Belgium · 2017 – present
Formerly Vente-Privée / Vente-Exclusive
Head of Data Science & Business Intelligence, Deputy CAIO2026 – present
Lead an organisation of 25 data scientists, ML, data and analytics engineers across four distinct teams, responsible for Data Science and Business Intelligence projects.
Co-owner of Veepee’s AI roadmap.
Head of Data Science2022 – 2026
Led an organisation of 20 data scientists and ML engineers across three teams, responsible for the Personalisation, Pricing, Forecasting and Search domains, supporting €3bn+ annual e-commerce revenue and serving millions of customers across Europe.
Owned data science strategy and roadmap; trusted partner to business and product leadership, advising and reporting to C-level.
Core member of the company-wide Generative AI team (since 2024): shaping GenAI strategy around RAG and Agentic AI, building and delivering internal GenAI training programmes, and driving governance and responsible adoption of LLMs.
Represented the company as a speaker on data science and AI at industry congresses and conferences.
Data Science Team Manager2019 – 2022
Managed a multidisciplinary data science team of up to 7 people, owning Forecasting and Pricing initiatives end-to-end.
Increased forecasting accuracy, leading to measurable warehouse efficiency gains, and grew margin rates through automated B2C pricing.
Primary liaison with internal stakeholders, aligning data science delivery with business priorities.
Grew team capability, ways of working and delivery while mentoring data scientists and engineers.
Full-Stack Data Scientist2017 – 2019
Key role in building and maintaining the personalisation engine for the Vente-Exclusive homepages (Benelux), significantly increasing conversion rate and revenue.
Designed and deployed large-scale data pipelines on Google Cloud Platform using PySpark, Dataflow, BigQuery and Bigtable.
Devoteam
Belgium · 2016 – 2017
Data Science Consultant2016 – 2017
Advised clients on data science and analytics projects as an external consultant.
Teaching & research
FNRS / Université de Mons — IceCube Neutrino Observatory
2003 – 2017
Research Scientist2003 – 2017
Data analysis and pattern recognition on petabyte-scale datasets for the IceCube international collaboration spanning three continents.
Designed and maintained project-wide databases and high-energy-physics computing infrastructure at ULB and UMONS.
Authored 100+ peer-reviewed publications (including in Science and Nature) and delivered 50+ talks at conferences, meetings and outreach events.
Université de Mons (UMONS)
Mons, Belgium · 2011 – 2016
Researcher and Lecturer in Astrophysics2011 – 2016
Delivered university lectures and supervised PhD and Master’s students.
ICHEC Brussels Management School
Brussels, Belgium
Guest Lecturer
Taught data science and quantitative topics to business-school students.
Education
PhD in PhysicsUniversité de Mons
2005 – 2010
Advanced Studies Degree (DEA) in Physical SciencesUniversité de Mons-Hainaut
2003 – 2005
Master’s Degree in Physical SciencesUniversité de Mons-Hainaut