Senior Data Scientist

Keystone Solutions; Belgique; Sur place; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Teleworking (3 days/week)

Workspaces organized by activity

Public transport access

Car and bike parking

Locker

Company restaurant

Résumé du poste

Keystone Solutions, Belgium, seeks a Senior Data Scientist on a client-site consultancy to build advanced anomaly-detection solutions for healthcare data, prioritizing high-risk cases with explainable, data-driven insights.

You will lead ML design, leveraging Azure Databricks, PySpark, Delta Lake, and MLflow, while collaborating with domain experts to translate business needs into scalable solutions.

Qualifications

• Advanced degree or equivalent experience in data science or AI.
• 10+ years of experience in data science, ML, or analytics.
• Strong Python, SQL, Azure Databricks, and PySpark proficiency.
• Experience with MLflow, Delta Lake, Unity Catalog, and pipelines.

Responsabilités

• Lead design, development, and industrialization of ML solutions in Azure Databricks.
• Collaborate with healthcare experts, data engineers, analysts, and policy stakeholders.
• Develop anomaly-detection, risk-scoring, and classification models.
• Define model evaluation approaches including accuracy and explainability.
• Collaborate on data/ML pipelines, feature engineering, and integration.
• Use Databricks and Azure services (PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, ADF, DevOps, Storage).
• Apply security, privacy, governance, and responsible-AI requirements.
• Provide technical leadership, set standards, and coach team members.

Connaissances

Python

SQL

Azure Databricks

PySpark

Explainable AI

MLOps

Leadership

Problem solving

Formation

Master’s or Ph.D. in Data Science or related field

Outils

MLflow

Delta Lake

Unity Catalog

Databricks Workflows

Git / CI/CD

Description 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. Your work will help identify unusual billing patterns, prioritize high-risk cases, and support medical and administrative controls with explainable, data-driven insights.

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