Senior Data Scientist

Keystone Solutions; Brussel Hoofdstad; Hybride; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Teleworking (3 days/week)

Workspace organized by activity

Parking and building amenities

Company restaurant

Résumé du poste

Keystone Solutions is seeking a Senior Data Scientist to lead the design, development, and deployment of advanced anomaly-detection solutions on healthcare data. You will work with a multidisciplinary team to translate business needs into scalable ML models and data-driven insights.

The role emphasizes governance, explainability, and collaboration with domain experts, data engineers, and policy stakeholders in a hybrid client-site setting.

Qualifications

• 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, ML, or advanced analytics.
• Strong experience with Python, SQL, Azure Databricks, and PySpark.
• Strong knowledge of ML techniques, including anomaly detection, classification, clustering.
• 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.

Responsabilités

• Lead the design, development, and industrialization of ML solutions in Azure Databricks.
• Collaborate with domain experts, data engineers, and stakeholders to identify high-value use cases.
• Develop anomaly-detection, risk-scoring, and classification models.
• Define model evaluation approaches focusing on accuracy, explainability, and value.
• Collaborate on data/ML pipelines, feature engineering, and solution integration.
• Utilize Databricks and Azure services including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Data Factory, DevOps, and Storage.
• Apply security, privacy, governance, and responsible-AI requirements.
• Provide technical leadership, define standards, and coach team members.

Connaissances

Anomaly detection

Risk modelling

Azure Databricks

PySpark

Python

ML techniques

Explainable AI

Agile methodologies

Healthcare domain knowledge

Formation

Master's or PhD in Data Science/CS/AI/Statistics/Mathematics/Engineering

Outils

MLflow

Delta Lake

Unity Catalog

Databricks Workflows

Git

CI/CD

MLOps

Azure Data Factory

Azure DevOps

Azure Storage

PySpark tooling

Description du poste

Mission Overview

About the job Senior Data Scientist

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.

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