Data and Scenario Modelling Expert

NTU International A / S; Casalnuovo di Napoli; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading consultancy is forming a pool of Data and Scenario Modelling Experts to support health systems in the EU. You'll design models for health workforce demand, conduct data assessments, and provide policy recommendations, contributing to impactful structural reforms. Candidates with a Master's or Doctoral degree and extensive experience in forecasting are encouraged to apply.

Competenze

• 7+ years in forecasting, modelling, or decision support in health systems.
• Experience with scenario planning tools.
• Knowledge of HRH indicators and planning methodologies.

Mansioni

• Design and implement scenario-based models for projecting future health workforce demand.
• Conduct assessments of data availability, quality, and system readiness.
• Support technical input for policy decisions using quantitative and qualitative modelling.

Conoscenze

Forecasting

Modelling

Scenario Planning

Formazione

Master’s or Doctoral Degree in Health Information Systems

Strumenti

Dynamic Modelling Environments

Descrizione del lavoro

Location : Europe Duration :

Short-term assignments / task-based consultancy

About the Opportunity :

We are creating a pool of

Data and Scenario Modelling Experts – Health Systems

for a new FWC Contract :

EC-SG REFORM / 2025 / OP / 0001 : Provision of consultancy services to support the design, development, implementation, monitoring and evaluation of structural reforms in EU Member State.

Experts in this pool will be contacted for specific assignments as they arise. If you have relevant experience we encourage you to apply.

Key Responsibilities : Design and implement scenario-based models for projecting future health workforce demand and supply. Conduct assessments of data availability, quality, and system readiness. Provide recommendations on data collection strategies and information system improvements. Support technical input for policy decisions using quantitative and qualitative modelling.

Qualifications : Master’s or doctoral degree in health information systems, statistics, or related fields. 7+ years in forecasting, modelling, or decision support in health systems. Experience with scenario planning tools and dynamic modelling environments. Knowledge of HRH indicators and planning methodologies is a strong asset.