
1001 - 5000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
NRB is a leading ICT service provider in Belgium, offering a comprehensive range of solutions and services including business consulting, IT strategy, data management, software solutions, cloud infrastructure, cybersecurity, and artificial intelligence. The company focuses on supporting public and private sector clients in transforming and optimizing their IT operations, ensuring security and efficiency. NRB is known for its partnerships with major technology firms like IBM and its commitment to innovation and sustainability, as demonstrated by its ISO certifications.
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1001 - 5000 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
NRB is a leading ICT service provider in Belgium, offering a comprehensive range of solutions and services including business consulting, IT strategy, data management, software solutions, cloud infrastructure, cybersecurity, and artificial intelligence. The company focuses on supporting public and private sector clients in transforming and optimizing their IT operations, ensuring security and efficiency. NRB is known for its partnerships with major technology firms like IBM and its commitment to innovation and sustainability, as demonstrated by its ISO certifications.
• Develop and implement machine learning algorithms, statistical models, and scripts to solve business problems • Conduct experiment design, including A/B testing, cross-validation, and statistical significance testing • Develop processes for compliant implementation of regulatory frameworks such as the EU AI Act • Implement model risk management, model monitoring for drift and bias, and comprehensive documentation such as model cards • Analyze data needs and identify suitable data sources and flows • Organize data collection, transformation, and integration processes • Verify process results, propose improvements, and implement them with the IT department • Organize user acceptance tests for data collection, transformation, integration, validation, and publication solutions • Organize data validation and data quality checks, including automated processes • Create reports, data visualizations, and publications in cooperation with the IT department • Support data providers through templates, tools, and guidance documents • Support data providers and users throughout data validation processes • Organize support for users requesting data access, clarification, or information • Collaborate in assessing implementation of DG AGRI data policies • Ensure data policies are implemented for new data collections
• Master’s/Bachelor’s degree • Minimum 7 years of experience in data science, data analytics and related tasks • Data analytics-related certifications • Knowledge of data storage and query technologies, including SQL, NoSQL, MongoDB, and Hadoop • Knowledge of scalable data storage solutions, including data lakes, lakehouses, and distributed stores • Knowledge of advanced analytics applications such as forecasting, recommendation systems, anomaly detection, and sentiment analysis • Knowledge of AI governance principles including transparency, explainability, fairness, and accountability, aligned with EU AI Act requirements • Expertise in developing and implementing machine learning algorithms, statistical models, and scripts • Expertise in data processes across the data lifecycle, including collection, processing, integration, transformation, visualization, and publication • Expertise with SQL Developer, R Studio, Excel, and Power BI in relation to the agriculture sector • Expertise in accessing data via APIs • Expertise in acceptance tests on data-related IT solutions • Must be a freelancer established in the EU and an EU national • Ability to work as an independent consultant/freelancer
• 90% remote / fully remote arrangement, contingent on being a freelancer established in the EU and an EU national • Opportunity to work on challenging international projects • Career growth within a leading Belgian IT company • Work in multicultural environments • Work on digital transformation, cloud technologies, IT security, and data analytics projects
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