Data Scientist
Listed on 2026-10-17
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Meerab Group is a Belgium-based Software Development and IT Consulting company serving clients across Europe. We help organisations accelerate digital transformation by providing technology expertise, consulting services, engineering capabilities, and project delivery support.
Role:
Data Scientist-
Location:
Brussels BE-1 day a week onsite
Work with stakeholders to gather requirements, translate business challenges into data-science
hypotheses, establish success metrics and develop data-mining / ML solutions.
Partner with UX and product teams to ensure clear presentation and interpretation of analytical
Assess data accuracy; identify, collect, transform and prepare structured and unstructured data,
including feature engineering and production-grade data readiness.
Build statistical models, machine-learning algorithms and scripts for forecasting, classification,
segmentation, inference and other business problems.
Design, train, tune, evaluate and validate predictive models; apply cross-validation, significance
testing and controlled experiments such as A/B tests.
technical audiences, and document models and cross-system dependencies.
Operationalise models using MLOps, CI/CD, model registries, reproducible pipelines and production
Expertise needed:Python and pandas for advanced analytics, modelling and automation; scikit-learn and Hugging Face Transformers for machine learning and NLP.
AI assistants and Retrieval-Augmented Generation (RAG): design and optimisation of retrieval
pipelines; similarity and vector search, including FAISS.
AI safety: practical guard railing and red teaming against hallucinations, bias and prompt injection.
Explainable and auditable AI/ML: transparency, feature attribution, post-hoc interpretation and
MLOps: CI/CD, model registries, testing, MLflow and Langfuse; model deployment through
containers, APIs, serving frameworks and Docker.
Data storage and retrieval:
PostgreSQL, Oracle and Elasticsearch.
AI governance, GDPR and EU AI Act; bias monitoring, drift detection, model cards and ethical /
Must Have:PostgreSQL. Search:
Elasticsearch. Reporting:
Python, Angular, Qlik Sense, SAP Business Objects. ML
infrastructure:
Airflow, MLflow, Weaviate, Tensor Flow, DVC, AI. Data governance:
Open Metadata.
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