European Central Bank, Traineeship in Statistics and Data Science
- Organizzazione
- ECB - European Central Bank
- Sede
- Frankfurt am Main, Germania
- Durata
- 6-12 mesi
- Indennità
- 1.170 € al mese
- Benefit
- Indennità di alloggio
- L'offerta scade il
- 01/10/2026
- Area professionale
-
Economia e finanza Statistica/Data Analysis Scienze naturali
Attività
You will be part of the Directorate General Statistics (DG/S). In your role as a trainee, you will contribute directly to the work of the Directorate General Statistics. You will form part of a team responsible for collecting and validating data, producing, publishing and disseminating data and statistical indicators using innovative methods (including AI solutions), managing and governing data and/or metadata, and keeping the related documentation and tools fit for purpose. You will work closely with relevant stakeholders such as economists, analysts and banking supervisors. As a trainee in DG/S you will:
- gain insights into the methodology, validation, compilation, management and publication of macroeconomic statistics and/or large-scale granular/micro datasets in a policy-oriented environment;
- work both in a team and independently under the guidance of a mentor, taking the initiative and interacting with other staff members and management;
- have an opportunity to participate in your team’s regular activities, support the development of statistical and/or metadata concepts as well as tools and processes for data and metadata management, and/or contribute to conceptual or empirical studies.
Requisiti principali
- A bachelor’s degree or higher in statistics, data science, economics, finance, mathematics, computer science, operational research or another relevant field;
- experience in using at least one of the following programming languages/statistical packages/visualisation tools: C/C++/C#, Java, Mathematica, MATLAB, Python, R, R Shiny, SAS, Scala, SQL, Stata, VB/VB.Net/VBA, Tableau, Power BI;
- experience in data and metadata management, including collection, quality control, aggregation, visualisation and analysis;
- a good knowledge of the MS Office package;
- experience in using complex datasets, interpreting the data and presenting results;
- an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.
- experience in programming with at least one of the following languages: C/C++/C#, Java, Python, R, R Shiny, SAS, Scala, SQL, VB/VB.Net/VBA;
- familiarity with monetary and financial statistics, macroeconomic statistics (such as financial accounts, balance of payments or price statistics), supervisory data, micro/granular financial data, reference data, household or corporate survey data, accounting, financial and risk reporting, or the governance and management of integrated data and metadata;
- familiarity with international standards for macroeconomic statistics, accounting or banking supervision;
- knowledge of financial concepts and the functioning of financial markets;
- knowledge of the techniques used in the development of applications and tools for data management, visualisation, AI or machine learning;
- knowledge of web development, content creation, digital communication and graphics.