Data Scientist

Next-Link; Brussel; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Next-Link is seeking a Senior Lead Data Scientist to design and industrialise scalable ML solutions using Azure Databricks, PySpark, Python, and MLflow. The role combines advanced data science with technical leadership, collaborating with data engineers and architects to deliver production-ready systems.

You will apply anomaly detection, classification, clustering, explainable AI, and risk scoring on large datasets, while promoting Git-based MLOps, CI/CD, and agile practices across teams.

Qualifications

• Education: Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related discipline; equivalent professional experience will be considered.

Responsabilités

• The Senior Lead Data Scientist will design, develop, and industrialise scalable machine-learning solutions using Azure Databricks, Python, PySpark, MLflow, and Azure services.

Connaissances

Python

SQL

Machine learning

Explainable AI

Anomaly detection

Classification

Clustering

Risk scoring models

Agile development

Formation

Master's or Ph.D. in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering

Outils

Azure Databricks

PySpark

MLflow

Delta Lake

Unity Catalog

Databricks Workflows

Git

CI/CD pipelines

Model deployment

Description du poste

Bruxelles, Belgium | Posted on 08/20/2026

What is the mission about?

Inrernational

Job Description

The Senior Lead Data Scientist will design, develop, and industrialise scalable machine-learning solutions using Azure Databricks, Python, PySpark, MLflow, and Azure services. The role combines advanced data science expertise with technical leadership, working closely with domain experts, data engineers, and architects to deliver robust, production-ready solutions.

Requirements

• Education: Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline; equivalent professional experience will also be considered.
  
• Experience: 10+ years of hands-on experience in data science, machine learning, advanced analytics, or a closely related field.
  
• Technical Skills: Advanced proficiency in Python and SQL, with strong hands-on expertise in Azure Databricks and PySpark.
  
• Machine Learning: Extensive knowledge of machine learning methods, including anomaly detection, classification, clustering, explainable AI, and risk-scoring models applied to large-scale datasets.
  
• Databricks Platform: Proven experience with key Databricks capabilities, including MLflow, Delta Lake, Unity Catalog, and Databricks Workflows.
  
• Engineering & MLOps: Strong understanding of software engineering and MLOps practices, including Git, automated testing, CI/CD pipelines, model deployment, and lifecycle management.
  
• Ways of Working: Demonstrated experience delivering solutions within Agile development environments.
  
• Industry Experience: Background in healthcare, insurance, fraud detection, or the public sector would be highly advantageous.