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Traineeship in Data Science, Technology and Innovation in HR

Den Europæiske Centralbank

Students and graduates

Human Resources


General Information
Type of contract Traineeship

Who can apply? EU nationals eligible for our traineeship programme (see further information section)

Grant The trainee grant is €1,070 per month plus an accommodation allowance (see further information section)

Working time Full time

Place of work Frankfurt am Main, Germany

Closing date 16.06.2021

Your team You will be part of the Employee Services Division in the Directorate General Human Resources. Our Directorate General has over 100 staff members who provide operational, talent management and advisory services to approximately 4,000 employees. We are currently working on transforming our Directorate General and its services into a digital and data-driven business area.

In your role as a Trainee in Data Science, Technology and Innovation in HR, you will be part of one of two closely collaborating teams of 6-12 highly skilled staff members responsible for:

  • delivering data science services to stakeholders in HR and other business areas, using data and analytics to optimise the impact of HR policies on employees’ working conditions, and generating insights to shape the HR strategy (HR Analytics team);
  • developing, implementing and maintaining best-in-class technologies, streamlining and digitalising our processes, and exploring innovative solutions to enhance business value (HR Systems team).

Both teams work in an agile way and collaborate with colleagues from across our Directorate General, the Directorate General Information Systems and the Directorate General Corporate Services.

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.

Your role As a Trainee in Data Science, Technology and Innovation, depending on which team you join, you will:

  • develop statistical analyses and data science solutions, and derive recommendations for strategic HR decision-making and HR policy development;
  • contribute to exploring new tools and technologies, testing them and developing prototypes;
  • support the development of a data-driven and evidence-based approach in HR by collecting research literature, generating insights from available reports and tools, and training colleagues to integrate them into their work;
  • contribute to transforming and visualising HR datasets for different projects and tasks;
  • participate in streamlining and digitalising processes by identifying the necessary system functionalities, designing solutions and ensuring their smooth development;
  • contribute to maintaining HR systems, including our on-site Enterprise Resource Planning (ERP) solution and our innovative cloud systems, as well as our dashboards and analytics tools;
  • manage and remediate system-related incidents, and provide support and training to end users on the use of the HR systems and our dashboards and analytics tools.

The position offers you excellent opportunities to learn from experienced data scientists, gain hands-on analytics experience and work with leading technologies in a dynamic and inspiring environment. 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 data science, statistics, mathematics, computer science, human resources management, business administration, economics, social and organisational psychology, business information systems, business analytics, or another relevant discipline;
  • as a minimum, either an intermediate level of expertise in R or advanced skills in another statistical programming language or six months’ experience in HR analytics, business analysis or IT development;
  • experience in or knowledge of analytics and data science methodologies or HR systems development and ERP systems;
  • excellent analytical and conceptual skills, and an interest in complex technical content;
  • a good knowledge of the MS Office package;
  • 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 with SQL, Python and/or Tableau;
  • knowledge of big data technologies such as Apache Hadoop, Spark, Impala or Hive;
  • experience or an interest in collecting and consolidating evidence from existing research and applying it to our business solutions;
  • knowledge of one or more ERP solutions or talent management platforms.

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 objectives of this position.

Further information Traineeship of between 3 and 12 months in total.

Application and selection process Further information on how to join us is available on our website.

The recruitment process for this position will include a remote written test and an online interview.

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Den Europæiske Centralbank - hurtigt overblik

Den Europæiske Centralbank
Den Europæiske Centralbank
ECB er en officiel EU-institution og den centrale institution i Eurosystemet og Den Fælles Tilsynsmekanisme (Single Supervisory Mechanism – SSM). Mere end 3.500 medarbejdere fra hele Europa arbejder for ECB i Frankfurt am Main, Tyskland. De udfører en lang række opgaver i tæt samarbejde med de nationale centralbanker i Eurosystemet og – for banktilsynets vedkommende – med de nationale tilsynsmyndigheder inden for SSM.

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