Trainee (Data Analytics and AI Innovation)

About the traineeship programme

The Agency is looking for motivated, qualified recent graduates or students on an Erasmus+ or other programme or PhD students or Master's students (who posses a previous degree), who are interested in gaining experience and contribute to the Agency’s work for every patient in Europe. The purpose of a traineeship at the Agency is to perform tasks that are predominantly in the interest of the trainee’s training and principally serve to increase the trainee’s knowledge and to gain relevant experience.

Placement description

We are looking for a trainee in the Digital Business Transformation Task Force.

Specific objectives and projects

The trainee will be involved in different Data Analytics and AI & experimentation projects of the Analytics Centre of Excellence (ACE), supporting automation and digital innovation at the Agency , working closely with the Digital Innovation Lab (DigiLab) in the context of the Knowledge Mining Initiative.

The type of projects that ACE is working on can range from developing an application using analytics and AI to writing an API (Application Programming Interface). In order to deliver these projects, the trainee will need to integrate data from different databases, write code to automatically analyse documents, scrape public information from the internet, write software to manage business process, etc.

The trainee will be involved in different projects from the automation pipepline of projects and the knowledge mining projects space. He/she will be also involved in the implementation of new AI technologies such as LLM (Large Language Model) models and will have the opportunity to participate in experimentation for the creation of chat bot interfaces to interact with various documents to retrieve information from documents and a variety of data sources.

Examples of projects in which the trainee may be involved include, but are not limited to:

1. Developing a modern chatbot to be deployed on the Traineeship Careers portal, aimed at assisting candidates in accessing up-to-date information about the Traineeship program at EMA.

2. Developing an application to support the automatic population of product information templates for human medicines.

The trainee will also collaborate with other EMA colleagues with different technical background in order to understand their business needs, translate these into concrete solutions, and report on the results in a clear manner.

Learning outcomes

The trainee will learn to:

• Work closely with other data experts and data scientists to deliver results

• Take complex business analyses and projects from concept to completion, and make the relevant results accessible to business users at all levels

• Communicate with business users to understand their requirements and to present results in a clear and structured manner

• Prepare reports and presentations with possible recommendations/trends/scenarios to support business reviews in a visual and clear manner

• Use statistical software and programming languages used in analytics such as Python, R, SQL, etc.

• Use data visualization and application tools such as Power BI, Shiny, etc.

• Understand, clean, and integrate massive disparate data sets and demonstrate familiarity with the data modelling workflow

• Employ advanced analytics techniques in building Artificial Intelligence (AI) and Machine Learning (ML) models and solutions for data-driven decision-making, process improvement, and process automation

• Use cognitive service from Azure

• Implement Large Language Models

Eligibility criteria

To be eligible for consideration for this placement, you are required to:

1. enjoy full rights as a citizen of a European Union Member State or Iceland, Lichtenstein and Norway;
2. possess a university degree in Software Development , Engineering, Data Science, Mathematics, statistics, physics, computer science or related field  (minimum of three years or more) that must have been obtained between 6 May 2024 and 6 May 2025 or be a university student on an Erasmus + or a similar programme or a PhD student or a Master's student with a previous fully finished degree in the areas mentioned before.
3. a thorough knowledge of English (at least level C1) and good knowledge of other official EU language (at least B2) of the Common European Framework for Languages

For criteria 1 and 2, you will be required to provide proof in the application form and at the interview stage. Failing to present these documents may result in the disqualification from the procedure.

Additional skills

• Excellent presentation and communication skills

• Pro-active approach to work

• Analysing and creative problem-solving

• Good in making visualisations of solutions in Power Point, or MIRO or other digital tools

• Customer centricity

• Team collaboration

Behavioural Competencies

You will demonstrate the following behavioural competencies:

• Communication skills
• Interpersonal skills
• Working with others
• Adaptability
• Research and analytical skills

Expected selection timelines

Conditions of traineeship

The traineeship is offered for 10 months (1 October 2025 – 31 July 2026) and takes place at the Agency’s premises in Amsterdam with possibility for teleworking up to 40% of working time from The Netherlands and occasional teleworking from outside The Netherlands. Traineeships are offered for either full-time or part-time (80% or 50%) if combined with university studies.

The Agency pays a monthly stipend of €1,942.19 for a full-time traineeship (reduced accordingly for 80% or 50%) and a travel contribution upon joining the Agency.

Each trainee will have a mentor at the Agency who will guide the trainee through the programme.

The conditions of employment are stated in the Executive Decision on rules governing the traineeship programme at the EMA available here.