Data Scientist – Natural Language Processing

Nova Hunte Ltd; Brussel Hoofdstad; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Nova Hunte Ltd is seeking a Data Scientist with 3+ years in NLP and ML to design and deploy advanced AI solutions in Brussels. You will explore LLMs, RAG frameworks, and state-of-the-art methods to create scalable NLP models and insights.

Proficiency in Python and NLP libraries is essential, along with experience in model evaluation and deployment. You will collaborate with cross-functional teams to integrate AI capabilities, experiment with new architectures, and contribute to data

Qualifications

• 3+ years of experience in ML and NLP.
• Strong Python and NLP library knowledge.
• Experience with deep learning frameworks (TensorFlow/PyTorch).
• Experience building and evaluating AI/NLP/ML models using LLMs and RAG.
• Familiarity with pre-trained models and Transformer architectures.

Responsibilities

• Design, implement, and optimise NLP/ML models using LLMs and RAG.
• Develop tokenisation, POS tagging, NER, classification and clustering methods.
• Fine-tune models on domain-specific tasks and evaluate results.
• Collaborate with teams to integrate AI/ML into products.
• Create reports and visualisations to communicate insights.

Skills

Python

NLP

ML

Pandas

SpaCy

NLTK

Hugging Face

LLMs

RAG

Model evaluation

Education

EQF6 qualification in Statistics/Data Science/ML

Tools

TensorFlow

PyTorch

GPT/Transformer models

Elasticsearch

MongoDB

Job description

# Data Scientist – Natural Language ProcessingBrussels, Belgium ContractAre you a Data Scientist with 3+ years of experience in Natural Language Processing and Machine Learning? Apply now for a long-term contract opportunity with a leading public sector client in Brussels.## Requirements* 3+ years of experience in Machine Learning and Natural Language Processing* Excellent knowledge of Python and libraries (e.g. Pandas, SpaCy, NLTK, Hugging Face)* Experience with deep learning frameworks for complex model architecture such as TensorFlow or PyTorch* Experience designing, implementing, and optimising advanced AI, NLP, and ML models using LLMs, RAG frameworks, and state-of-the-art approaches* Experience with pre-trained models and LLMs like GPT and other Transformer-based architectures* Strong understanding of linguistics and text processing techniques including tokenisation, part-of-speech tagging, named entity recognition, classification, and clustering* Good knowledge of SQL tooling (Oracle, PostgreSQL)* Knowledge of NoSQL databases (Elasticsearch, MongoDB)* Knowledge of architectural design of scalable ML solutions such as model servers and GPU resource optimisation* Experience with A/B testing and experimental design of ML models* Experience with tools like Matplotlib and Seaborn for creating data visualisations* Understanding of bias in ML applications and bias mitigation techniques* Proficient in continuous code delivery and unit testing* Knowledge in one or more of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, or recommendation systems* EQF6 qualification with focus on Statistics, Data Science, or Machine Learning* (Desirable) Experience with AI-powered code assistants (e.g. Amazon Kiro, GitHub Copilot) and staying updated with advancements in AI-driven code technologies* (Desirable) Good knowledge of European Commission grant management ecosystem (eGrants)* Language(s): English (fluent)* Eligibility: EU citizenship required## Job Description* Design, implement, and optimise advanced AI, NLP, and ML models using LLMs, RAG frameworks, and other state-of-the-art approaches* Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering, and other text mining-related tasks* Fine-tune pre-trained models on domain-specific tasks* Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies* Develop and maintain robust, scalable, and efficient code using Python* Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services* Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability* Participate in peer reviews and contribute to the continuous improvement of AI solutions* Contribute to the design and implementation of ML application architecture and its solution stack* Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders