Job Description

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: www.keyes.eu

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 Python and NLP 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…

• Collaborate with stakeholders to collect requirements, frame business problems as data science hypotheses, define success metrics, and develop or deploy advanced data mining and machine learning solutions.
• Develop process to monitor and analyse data accuracy.
• Identify, collect, and prepare data for analysis, collaborating with Data Analysts to ensure robust production-grade data pipelines, with a focus on feature engineering and data readiness for modelling.
• Produce data models according to specific problems statements.
• Develop and implement machine learning algorithms, statistical models, and scripts to solve specific business problems.
• Developing visualizations to communicate model behaviour, key insights, and performance metrics, and collaborating with Data Analysts on integrated dashboard reporting.
• Design, develop, and evaluate predictive models capable of handling both structured and unstructured data, including model selection, training, and hyperparameter tuning.
• Elaborate processes to ensure the compliant implementation of regulatory frameworks (e.g., EU AI Act), including model risk management, monitoring for drift/bias, and comprehensive documentation (e.g., model cards).
• Ensure that model development, deployment, and monitoring practices adhere to all relevant regulatory frameworks and internal governance policies.
• Communicate model insights, limitations, and behaviour effectively to both technical and non-technical audiences, and create interpretable outputs and documentation.
• Deploy and maintain models into production using Machine Learning Operations (MLOps) practices, including Continuous Integration/Continuous Deployment (CI/CD) pipelines, model registries, and ensuring reproducibility.
• Operate in the technological ecosystem: Python, Django, ORM, SQLAlchemy, SQL, and Elasticsearch.

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Requirements

Are you the perfect match?

• Master’s/Bachelor’s degree;
• Minimum 7 years of experience in data science, data analytics and related tasks;
• Data analytics-related certifications;
• Advanced hands-on experience with NLP and Python;
• Experience working in the ecosystem: Python, Django, ORM, SQLAlchemy, SQL, and Elasticsearch.