Senior Data Scientist, Nlp
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.
Candidates need to be based in Europe within 2 hours of Brussels.
Consultants will need to go 5 days per month on-site.
European candidates are welcome to apply.
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
#J-*-Ljbffr
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.
Candidates need to be based in Europe within 2 hours of Brussels.
Consultants will need to go 5 days per month on-site.
European candidates are welcome to apply.
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
#J-*-Ljbffr