Data Scientist (AI/ML)

Location: Brussels, Belgium; hybrid working model

Company

hirify.global builds responsible digitalisation solutions for EU institutions and public and private organisations across Europe.

What you will do

• Collect requirements with stakeholders, frame business problems as data science hypotheses, define success metrics, and develop or deploy machine learning solutions.
• Design and validate forecasting, recommendation, anomaly detection, sentiment analysis, predictive, and text-based models.
• Identify, prepare, and analyse data while building production-grade pipelines with a focus on feature engineering and modelling readiness.
• Develop data models, statistical models, machine learning algorithms, and scripts for business problems.
• Collaborate with UX, product, data analyst, and architecture teams to present model outputs and design scalable analytics architectures.
• Document solutions and manage cross-system dependencies, monitoring data accuracy and model delivery.

Requirements

• Bachelor’s degree and at least 8 years of relevant hands-on experience in data science, advanced analytics, and AI/ML engineering.
• Experience with Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
• Expertise in ETL/ELT pipelines and scalable data architectures, including dbt, Azure Data Factory, Talend, data lakes, lakehouses, and Hadoop.
• Experience with relational and non-relational databases, including SQL, NoSQL, and MongoDB.
• Knowledge of containerization, APIs, serving frameworks, model registries, and CI/CD pipelines for operationalising machine learning solutions.
• Fluent professional English at C1+ level required, with knowledge of A/B testing, AI compliance and ethics, GDPR, the EU AI Act, bias and drift monitoring, and BI tools.

Culture & Benefits

• Modern working environment and challenging large-scale projects impacting millions of citizens.
• Competitive compensation and benefits package with a hospitalization plan.
• Meal allowance and mobility budget or commuting allowance where applicable.
• Well-being activities held on premises.
• Continuous learning through Udemy for Business and ad hoc training.
• Personalised development plans for targeted career growth.