Senior Data Scientist

Senior Data Scientist (Freelance) - 4 months - Brussels Belgium

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Intro

Step into a mission-critical freelance opportunity with RELYzIT Talent, where your expertise will shape the future of healthcare analytics. As a Senior Data Scientist, you’ll join a multidisciplinary team driving the next generation of anomaly-detection and risk-modelling solutions for our client. This is your chance to deliver real impact, leveraging advanced machine learning and Azure Databricks to transform how healthcare data is understood and acted upon.

Why This Role Matters

Healthcare systems depend on robust, explainable data insights to ensure integrity, efficiency, and trust. In this role, you’ll be at the forefront of detecting anomalies and identifying high-risk cases within vast healthcare datasets. Your work will directly support smarter, data-driven decisions, helping our client safeguard resources and improve outcomes for millions. This is not just about building models—it’s about building trust in healthcare.

What You’ll Be Doing

• Lead the design, development, and industrialisation of machine-learning solutions using Azure Databricks.


• Collaborate closely with healthcare experts, data engineers, business analysts, and policy stakeholders to identify high-value use cases and translate business needs into actionable, data-driven solutions.


• Develop and deploy anomaly-detection, risk-scoring, and classification models using both supervised and unsupervised techniques.


• Define and implement model evaluation strategies, ensuring accuracy, explainability, and operational value.


• Work hands-on with Databricks and Azure services, including PySpark, Delta Lake, Unity Catalog, MLflow, Workflows, Azure Data Factory, Azure DevOps, and Azure Storage.


• Apply best practices in security, privacy, governance, and responsible AI throughout the solution lifecycle.


• Provide technical leadership, set standards, and mentor team members to elevate the team’s capabilities.


• Drive collaboration on data/ML pipelines, feature engineering, and seamless solution integration.

What We’re Looking For

• 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.


• Proven expertise in Python, SQL, Azure Databricks, and PySpark.


• Deep knowledge of machine learning techniques, including anomaly detection, classification, and clustering.


• Hands-on experience with MLflow, Delta Lake, Unity Catalog, and Databricks Workflows.


• Familiarity with Git, automated testing, CI/CD, and MLOps practices.


• Experience with explainable AI, risk scoring, and large-scale data processing.


• Background in healthcare, insurance, fraud detection, or the public sector is a strong asset.


• Experience working in agile environments and collaborating within multidisciplinary teams.


• Strong analytical, technical, and problem-solving skills with a pragmatic, delivery-focused mindset.


• Ability to translate complex business needs into scalable analytical solutions.


• Clear communicator with leadership capabilities and a strong focus on explainability, quality, and maintainability.


• Team player, flexible, and eager to learn.

Technical Skills

• Expertise in Data Science & Machine Learning (Expert)


• Anomaly Detection & Risk Modelling (Junior to Expert)


• Python (Expert)


• Azure Databricks & PySpark (Junior to Expert)


• Microsoft Azure (Junior)


• MLflow & MLOps (Junior)

Language Proficiency

• Mother tongue: Dutch or French, with passive knowledge of the second national language


• Professional working proficiency in English

Other Requirements

• Experience in Agile/Scrum environments


• Strong focus on security, privacy, and responsible AI


• Ability to work partially remote (hybrid model)

What We Offer

• Freelance contract for 4 months, with the possibility of extension


• Opportunity to work on impactful data services that benefit society


• Flexible working hours within a 40-hour week (core slots: 9 a.m. – 12 p.m. and 1 p.m. – 4 p.m.)


• Partial remote work (up to 3 days/week)


• Modern, activity-based workspaces


• Easy accessibility via public transport


• Onsite amenities including car/bike parking, individual lockers, and a company restaurant

About RELYzIT Talent

RELYzIT Talent is where elite builders come together to drive innovation and impact. We don’t just place talent—we empower you to build the future, supported by our VECTOR7™ Signal Stack vetting process. Join a community that values ownership, excellence, and real-world outcomes.