Data and Scenario Modelling Expert

NTU International A / S; Ancona; Remoto; EUR 50.000 - 70.000; Part-time

Descrizione del lavoro

A consultancy firm in Europe is seeking a Data and Scenario Modelling Expert to design and implement models for health workforce demand and supply. You will assess data quality and provide recommendations for data strategies. The ideal candidate has a relevant master's or doctoral degree and over 7 years of experience in health systems modelling. This role offers short-term consultancy assignments.

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

Modelling

Scenario planning tools

Data collection strategies

Formazione

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

Descrizione del lavoro

Data and Scenario Modelling Expert – Health Systems

Location : Europe Duration :

Medium-term consultancy Estimated Workload :

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.