Traineeship in Statistics and Data Science
—
Your team You will be part of the Directorate General Statistics. Our Directorate General has over 300 staff working to strengthen Europe by supporting ECB decision-making with high-quality data and statistics. Our statistics inform central banking and banking supervision policy decisions, as well as the public at large. This is done in close collaboration with the European System of Central Banks, the European Commission, the banking industry, national competent authorities and international bodies. Your role 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, and keeping the related documentation fit for purpose. You will work closely with relevant stakeholders such as economists, analysts and banking supervisors. Our Directorate General is also currently experimenting with AI solutions to develop new data products and services. As a trainee in Statistics 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 concepts, tools and processes, and/or contribute to conceptual or empirical studies. The traineeship offers you excellent opportunities to help modernise the ECB's data culture and data management in a context of rapid financial innovation and digital communication. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens. Qualifications, experience and skills Essential: • 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, JavaScript, Mathematica, MATLAB, Perl, Python, R, R Shiny, SAS, Scala, SQL, Stata, VB/VB.Net/VBA, Tableau, Power BI; • experience in data and metadata management, including collection, cleaning, validation, aggregation, visualisation and analysis; • a good knowledge of the MS Office package (in particular Word, Excel and PowerPoint); • 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, JavaScript, Perl, 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, household or corporate surveys, 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 or machine learning; • knowledge of web development, content creation, digital communication and graphics. You are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people's diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions. You are motivated to contribute to the ECB's mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position. We offer Statistics 12636 General Information Type of contract Traineeship Who can apply? EU nationals eligible for our traineeship programme Grant The trainee grant is €1,170 per month plus an accommodation allowance (see further information section) Working time Full time Place of work Frankfurt am Main, Germany Closing date 26.09.2025 The ECB is an inclusive employer and we strive to reflect the diversity of the population we serve. We encourage you to apply irrespective of age, disability, ethnicity, gender, gender identity, race, religious beliefs, sexual orientation or other characteristics. Further information Initial traineeship of 6 months, with a possible extension to up to 12 months in total. The start date will be in 2026. Other details on the conditions applicable to traineeships at the ECB can be found on our website. Contact Application and selection process The recruitment process for this position will include a pre-recorded video interview in the pre-selection phase and - if you are invited to participate in the subsequent selection phase - an online interview. Further information on how to apply is available on our website. If you are not selected for this position but are still considered suitable, you will be placed on a reserve list for 12 months from the closing date for applications, from which you might be considered for other traineeship positions within the ECB.
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| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Traineeship in Statistics and Data Science | fallback | 446 | 2026-03-21 20:49 | |
| trainee data scientist in Frankfurt | de | duplicate | 4166 | 2026-03-21 17:25 |
| trainee data scientist in Germany | de | duplicate | 5927 | 2026-03-21 17:24 |
| trainee data analyst in Frankfurt | de | duplicate | 6887 | 2026-03-21 16:51 |
| trainee data analyst in Germany | de | duplicate | 9913 | 2026-03-21 16:51 |
| graduate data analyst in Frankfurt | de | duplicate | 7181 | 2026-03-21 16:48 |
| graduate data analyst in Germany | de | processed | 6551 | 2026-03-21 16:48 |
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"job_description": "Your team\n\nYou will be part of the Directorate General Statistics. Our Directorate General has over 300 staff working to strengthen Europe by supporting ECB decision-making with high-quality data and statistics. Our statistics inform central banking and banking supervision policy decisions, as well as the public at large. This is done in close collaboration with the European System of Central Banks, the European Commission, the banking industry, national competent authorities and international bodies.\n\nYour role\n\nIn 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, and keeping the related documentation fit for purpose. You will work closely with relevant stakeholders such as economists, analysts and banking supervisors. Our Directorate General is also currently experimenting with AI solutions to develop new data products and services.\n\nAs a trainee in Statistics you will:\n• 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;\n• work both in a team and independently under the guidance of a mentor, taking the initiative and interacting with other staff members and management;\n• have an opportunity to participate in your team's regular activities, support the development of statistical concepts, tools and processes, and/or contribute to conceptual or empirical studies.\n\nThe traineeship offers you excellent opportunities to help modernise the ECB's data culture and data management in a context of rapid financial innovation and digital communication. You will be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.\n\nQualifications, experience and skills\n\nEssential:\n• a bachelor's degree or higher in statistics, data science, economics, finance, mathematics, computer science, operational research or another relevant field;\n• experience in using at least one of the following programming languages/statistical packages/visualisation tools: C/C++/C#, Java, JavaScript, Mathematica, MATLAB, Perl, Python, R, R Shiny, SAS, Scala, SQL, Stata, VB/VB.Net/VBA, Tableau, Power BI;\n• experience in data and metadata management, including collection, cleaning, validation, aggregation, visualisation and analysis;\n• a good knowledge of the MS Office package (in particular Word, Excel and PowerPoint);\n• experience in using complex datasets, interpreting the data and presenting results;\n• 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.\n\nDesired:\n• experience in programming with at least one of the following languages: C/C++/C#, Java, JavaScript, Perl, Python, R, R Shiny, SAS, Scala, SQL, VB/VB.Net/VBA;\n• familiarity with monetary and financial statistics, macroeconomic statistics (such as financial accounts, balance of payments or price statistics), supervisory data, micro/granular financial data, household or corporate surveys, or the governance and management of integrated data and metadata;\n• familiarity with international standards for macroeconomic statistics, accounting or banking supervision;\n• knowledge of financial concepts and the functioning of financial markets;\n• knowledge of the techniques used in the development of applications and tools for data management, visualisation or machine learning;\n• knowledge of web development, content creation, digital communication and graphics.\n\nYou are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people's diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions.\n\nYou are motivated to contribute to the ECB's mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position.\n\nWe offer\n\nStatistics\n\n12636\n\nGeneral Information\n\nType of contract Traineeship\n\nWho can apply? EU nationals eligible for our traineeship programme\n\nGrant The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)\n\nWorking time Full time\n\nPlace of work Frankfurt am Main, Germany\n\nClosing date 26.09.2025\n\nThe ECB is an inclusive employer and we strive to reflect the diversity of the population we serve. We encourage you to apply irrespective of age, disability, ethnicity, gender, gender identity, race, religious beliefs, sexual orientation or other characteristics.\n\nFurther information Initial traineeship of 6 months, with a possible extension to up to 12 months in total. The start date will be in 2026.\n\nOther details on the conditions applicable to traineeships at the ECB can be found on our website.\n\nContact\n\nApplication and selection process\n\nThe recruitment process for this position will include a pre-recorded video interview in the pre-selection phase and - if you are invited to participate in the subsequent selection phase - an online interview.\n\nFurther information on how to apply is available on our website.\n\nIf you are not selected for this position but are still considered suitable, you will be placed on a reserve list for 12 months from the closing date for applications, from which you might be considered for other traineeship positions within the ECB.",
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