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.
Desired: 
  • 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. 
Coesione Italia GDL 2021-2027
Cofinanziato dall'Unione Europea
Ministero del Lavoro e delle Politiche Sociali

Il progetto Stage4eu è cofinanziato dal Programma Nazionale Giovani, Donne e Lavoro FSE+ 2021 – 2027 (Piano INAPP 2023-2029)