Senior Data Scientist – NLP & Text Mining – Hybrid Brussels

We are looking for a Senior Data Scientist specializing in Natural Language Processing (NLP), Text Mining and Machine Learning for an international organization in Brussels, Belgium.

You will develop and optimize NLP, Deep Learning and Large Language Model (LLM) solutions using Python, Hugging Face, TensorFlow or PyTorch, working on advanced text analytics, predictive modelling and scalable AI applications.

Hybrid Brussels – 5 days onsite per month – Europe-based candidates within 2 hours of Brussels – Contractor – Fluent English

A work permit is required but not provided.

Tasks and Responsibilities

• Develop and optimize Machine Learning and NLP models for text analysis and data-driven applications;
• Apply text mining, linguistic analysis and Transformer-based models, including pretrained LLMs such as GPT;
• Design scalable ML solutions, including model-serving architectures and GPU resource optimization;
• Develop AI solutions using Python, SpaCy, NLTK, Hugging Face and TensorFlow or PyTorch;
• Design and evaluate ML experiments using A/B testing, model evaluation and experimental design;
• Process and analyze structured and unstructured data using SQL, NoSQL databases and Python libraries;
• Implement automated testing, continuous code delivery and bias mitigation practices in ML applications;
• Apply relevant analytical techniques such as topic detection, plagiarism detection, predictive modelling, recommendation systems or anomaly detection.

Profile

• Bachelor's or Master's degree;
• 6+ years of experience in Machine Learning and Natural Language Processing (NLP);
• Strong Python programming skills with libraries such as Pandas, SpaCy, NLTK and Hugging Face;
• Experience with Deep Learning frameworks, particularly TensorFlow or PyTorch;
• Knowledge of pretrained language models, GPT and Transformer-based architectures;
• Strong understanding of linguistics, text processing and NLP techniques;
• Experience designing scalable ML architectures, including model servers and GPU resource optimization;
• Proficiency with SQL databases such as Oracle or PostgreSQL and NoSQL technologies such as Elasticsearch or MongoDB;
• Experience with A/B testing, experimental design, unit testing, continuous code delivery and ML bias mitigation;
• Experience with Matplotlib, Seaborn and AI-powered coding assistants such as GitHub Copilot or Amazon Kiro.

Knowledge of at least one of the following areas is required: predictive analytics, forecasting, recommendation systems, simulation, topic detection, plagiarism detection, trend analysis or anomaly detection.

Fluent English is required.

Key Technologies & Skills

Data Science, Natural Language Processing, NLP, Text Mining, Machine Learning, Python, Hugging Face, SpaCy, NLTK, TensorFlow, PyTorch, Large Language Models, GPT, Transformers, Deep Learning, SQL