Data and Scenario Modelling Expert

NTU International A / S; Como; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading consultancy firm seeks Data and Scenario Modelling Experts to join a pool for a new FWC contract aimed at supporting structural reforms in health systems across EU Member States. The role involves designing models for health workforce demand, conducting data assessments, and providing policy recommendations based on quantitative and qualitative analysis.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Forecasting

Scenario planning

Quantitative modelling

Formazione

Master’s or doctoral degree in health information systems, statistics, or related fields

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.