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data scientist jobs near brussels, brussel

Senior Data Scientist

Keystone Solutions
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 4 jours

Qualifications

Français
CI/CD
Informatique
Azure
Doctorat
Informatique
Git
Master
SQL
Machine learning
Unity
Agile
Prévention et détection de la fraude
Data science
Clustering
Intelligence artificielle
Python
Néerlandais

Description complète du poste

Mission Overview:

Join Keystone Solutions as a Senior Data Scientist on a consultancy mission at a client site. You will be part of a multidisciplinary team focused on developing advanced anomaly-detection solutions to analyze large volumes of healthcare data. This role emphasizes the importance of data-driven insights to support medical and administrative controls.

Roles & Responsibilities:

Lead the design, development, and industrialization of machine-learning solutions in Azure Databricks.
Collaborate with healthcare domain experts, data engineers, business analysts, and policy stakeholders to identify high-value use cases and translate business needs into data-driven solutions.
Develop anomaly-detection, risk-scoring, and classification models using supervised and unsupervised techniques.
Define model evaluation approaches covering accuracy, explainability, and operational value.
Collaborate with team members on data/ML pipelines, feature engineering, and solution integration.
Use Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps, and Azure Storage.
Apply security, privacy, governance, and responsible-AI requirements.
Provide technical leadership, define standards, and coach team members.

Technical Skills:

Master’s or Ph.D. in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or equivalent experience.
Minimum 10 years of experience in data science, machine learning, or advanced analytics.
Strong experience with Python, SQL, Azure Databricks, and PySpark.
Strong knowledge of ML techniques, including anomaly detection, classification, clustering, etc.
Experience with MLflow, Delta Lake, Unity Catalog, and Databricks Workflows.
Experience with Git, automated testing, CI/CD, and MLOps practices.
Experience with explainable AI, risk scoring, and large-scale data processing.
Experience in healthcare, insurance, fraud detection, or the public sector is a strong asset.
Experience working in an agile environment.

Profile:

Strong analytical and technical skills.
Pragmatic, autonomous, and delivery-focused.
Strong ownership and problem-solving mindset.
Able to translate business needs into scalable analytical solutions.
Clear communicator with strong ownership and leadership capabilities.
Strong focus on explainability, quality, and maintainability.
Team player, flexible, and eager to learn.

What we offer:

An interesting job in the realization of Data services that has an impact on society, with many advantages:

A good work-life balance with flexible working hours within a 40-hour week.
Possibility of teleworking (3 days/week).
Workspaces organized according to activities.
Easy accessibility via public transport.
Car and bike parking in the building.
Individual locker.
Company restaurant.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today .

Duration: 07/09/2026 - 31/12/2026 4 months • (full time)

Skills required:

Anomaly detection & Risk modelling - Level: Junior - Most recent: Any time
Azure Databricks & PySpark - Level: Junior - Most recent: Any time
data science & Machine Learning - Level: Expert - Most recent: Any time
Microsoft Azure - Level: Junior - Most recent: Any time
MLfow & MLOps - Level: Junior - Most recent: Any time
Python - Level: Expert - Most recent: Any time

Language requirements:

Dutch
Level Active knowledge
English
Level Active knowledge
French
Level Active knowledge

Soumettre votre candidature

Affinez votre recherche

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data scientist (brussels, brussel)

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