Nicolas MATHIEU
Summary
Results-driven Data Scientist with 4+ years of experience building production AI systems applied in GenAI domain, predictive modeling, and computer vision across diverse industries. My expertise includes advanced technical proficiency in AI systems, MLOps architectures, and cloud platforms with a business-oriented mindset, consistently delivering quantifiable value.
Overview
7
7
years of professional experience
Work History
GenAI Engineer
AstraZeneca - Alexion
Barcelona
09.2024 - Current
- Built with advanced GenAI technologies (OpenSearch, DSPy, LangChain) to deliver sophisticated natural language document retrieval
- Engineered with MLOps best practices for scalability, reliability and maintainability on AWS infrastructure serving 1000+ global users
- Contributing to the development of assets, frameworks, and reusable components for Generative AI, Machine Learning and MLOps practices
Senior Data Scientist (GenAI / LLM)
Artefact - Orange
Paris
02.2024 - 08.2024
- Designed and developed an industrialized virtual assistant for the generation of knowledge articles (Python, Langchain/ langGraph, Dash, OpenAI/ Anthropic)
- Created a SmartShopping Assistant chatbot to interact with website visitors and retrieve product catalog information (LangGraph, Langchain, OpenAI, Dash, Langfuse).
Senior Data Scientist (GenAI / Vision)
Chaussea
Paris
12.2023 - 02.2024
- Launched a Footwear Design Generator app, accelerating initial design process by 40% (Stable Diffusion, PyTorch, Gradio)
- Vision: Contributed to the internal repository of bytetrack, handling vision tracking on object detection (Yolo model)
Machine Learning Engineer (Scoring)
Samsung Audience Builder
Paris
05.2023 - 11.2023
- Developed and deployed propensity models to evaluate customer purchase likelihood using CRM and Google Analytics data (XGBoost).
- Architected end-to-end MLOps infrastructure on GCP, with automated CI/CD pipelines using Airflow, dbt, and Vertex AI, achieving a 95% reduction in deployment cycles and enabling real-time model monitoring capabilities.
- Designed and implemented a statistical A/B testing framework for propensity models, validating a 24% increase in conversion rates, and establishing a standardized methodology for evaluating model performance in production.
Data Scientist (Forecasting)
L'Oreal
Singapore
07.2022 - 04.2023
- Built a robust lightGBM regression model predicting promotional sales impact across 200+ products with WMAPE < 30% for 60% of SKUs, enabling commercial teams to optimize portfolio promotion strategies and achieve 20% ROI improvement.
- Implemented a full MLOps pipeline for promotion optimization models, with automated retraining, version control, and monitoring, reducing deployment time from weeks to hours.
- Developed an ensemble time-series forecasting system combining Prophet and ARIMA to predict seasonal demand patterns, improving inventory planning accuracy by 27%.
Data Scientist (NLP)
Saudi Tourism Authority
Dubai
03.2021 - 06.2022
- Engineered sentiment analysis model achieving 72% accuracy on customer reviews by fine-tuning BERT with TensorFlow and Hugging Face, enabling data-driven product improvements.
- Implemented automated customer feedback categorization using araBERT for Named Entity Recognition, reducing manual tagging time by 85%, and improving insight extraction.
- Developed a multilingual text classification pipeline using transformer models, increasing language coverage from 3 to 12 languages while maintaining a 76% F1 score.
Analyst Data science
Criteo
Barcelona
07.2020 - 02.2021
- Analyzed web traffic data and campaign performance, supporting product recommendation engine improvements
Apprenticeship/Part time - Digital Transformation division - Data Engineer / Data analyst - Banking sector
IBM France
Paris
07.2018 - 06.2020
- Designed a three-tier architecture and built an automated dashboard for incident tracking and forecasting (Qlik)
Education
MSc - Business Analytics/Data Science, financial market
ESSEC Business School
Cergy, France01.2020
MSc - High Performance Computing & AI, applied mathematics
Ecole Centrale de Nantes
Nantes, France01.2017
Skills
- LLM Development & Fine-tuning
- MLOps Infrastructure
- Cloud Platform Expertise
- Model Deployment & Serving
- GenAI Application Development
- Self-Directed
- Friendly, positive attitude
Others
GCP Data Engineer, GCP Professional Machine Learning Engineer certification, BigQuery, Vertex AI, Docker, Python, SQL, Java (notions), TensorFlow, PyTorch, scikit-learn, HuggingFace, OpenAI, Model serving with TensorFlow serving, FastAPI, Flask, SQL (PostgreSQL), NoSQL (MongoDB), Apache Airflow, DataFlow, dbt, Apache Spark, Hadoop, Git, Github, GitLab, Github Actions & CI, Infrastructure as Code (IaC), Fluent in French and English (TOEIC 965/990), Professional in Spanish
Timeline
GenAI Engineer
AstraZeneca - Alexion
09.2024 - Current
Senior Data Scientist (GenAI / LLM)
Artefact - Orange
02.2024 - 08.2024
Senior Data Scientist (GenAI / Vision)
Chaussea
12.2023 - 02.2024
Machine Learning Engineer (Scoring)
Samsung Audience Builder
05.2023 - 11.2023
Data Scientist (Forecasting)
L'Oreal
07.2022 - 04.2023
Data Scientist (NLP)
Saudi Tourism Authority
03.2021 - 06.2022
Analyst Data science
Criteo
07.2020 - 02.2021
Apprenticeship/Part time - Digital Transformation division - Data Engineer / Data analyst - Banking sector
IBM France
07.2018 - 06.2020
MSc - Business Analytics/Data Science, financial market
ESSEC Business School
MSc - High Performance Computing & AI, applied mathematics
Ecole Centrale de Nantes
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