Senior Data Scientist (NLP, Python) - based in Belgium (EU Institution)

Joining KEYES means giving purpose to your talent.

Who are we?

Are you looking for an environment where technology is not an end in itself, but a lever to build a sustainable future? At KEYES, we are not just looking for technical expertise; we are looking for people who share our values. Do you want to continue your career and grow within one of Belgium’s leading IT companies?

KEYES - International Organizations (IO) is a dynamic global organization that takes pride in being the trusted partner of EU Institutions. With strong commitment to excellence and a 30-years track record of delivering high-quality solutions, we are dedicated to supporting the growth and success of our clients. Our Mission is to help our clients keep up with the challenges of digital transformation by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging international projects and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) modernization of solutions, digital workspaces, cloud technologies and IT security. Our Headquarters are in Brussels and we have active accounts and offices across Europe (i.e. Luxembourg, Amsterdam, Athens, Stockholm, Geneva).

More information:

Is this YOU?

For one of our main clients based in Brussels - a European Institution, we are looking for a Senior Data Scientist with expertise in Text mining and NLP/AI/LLMs to support corporate solutions in the area of research and innovation. You will be supporting the EU policies on research, science and innovation, with a view to help create growth and jobs and tackle our biggest societal challenges.

Please note that the position is based in Brussels, on hybrid mode, therefore being based in Belgium is required.

More specifically, you will be responsible for…

• Design, implement and optimise advanced AI, NLP, and ML models. Use 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.

#LI-VB1

#TRASYS

Are you the perfect match?

• Master’s/Bachelor’s degree with focus on Data science, Statistics, Machine Learning.

• Minimum 7 years of experience in data science, data analytics and related tasks;

• 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 with AI-powered code assistants (e.g., Amazon Kiro, Github Copilot), staying updated with advancements in AI-driven code technologies.

• 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, GPU resource optimisation.

• Experience with A/B testing and experimental design of ML models.

• Experience with pre-trained models and LLMs like GPT, and other Transformer-based architectures.

• Experience with tools like Matplotlib and Seaborn for creating data visualisations.

• Strong understanding of linguistics and text processing techniques.

• Proficient in continuous code delivery and unit testing.

• Understanding of bias in ML applications and bias mitigation techniques.

• Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), topic detection, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.

• Good knowledge of EU Institutions’ grant management ecosystem (eGrants) would be an asset.