Data Scientist Trainee

1 maand geleden

Amsterdam, Noord-Holland, Nederland The European Medicines Agency (EMA) Voltijd
About the Traineeship Programme

The European Medicines Agency (EMA) is a decentralised agency of the European Union (EU), located in Amsterdam. It began operating in 1995. It is responsible for the scientific evaluation, supervision and safety monitoring of medicines in the EU.

This traineeship opportunity is now open for applications, with an intake on 1 March 2025. 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 possess a previous degree), who are interested in gaining experience and contribute to the Agency's work for every patient in Europe.

Placement Description

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

Specific Objectives and Projects

During this traineeship, you will be involved in different projects of the Analytics Centre of Excellence (ACE) team within the Digital Business Transformation Task Force, supporting automation and digital innovation and EMA, while working closely with other colleagues from the Task Force, such as the Digital Innovation Lab (DigiLab).

The type of projects that ACE is working on can range from developing an application to writing an application programming interface (API). Examples of the projects where you can expect to be involved are: adaptation of Eureka project into the Veterinary Medicines division, Knowledge Mining initiative or Name Review Group (NRG*) database revamp.

You will be involved from the automation pipeline of projects and the knowledge mining projects space. As one of the main projects already mentioned above, you will be involved in the adaptation of Eureka project into the Veterinary Medicines division where you will learn how to use natural language processing techniques to extract key information from product information documents.

Learning Outcomes
  • 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.
  • 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:

  • Enjoy full rights as a citizen of a European Union Member State or Iceland, Lichtenstein and Norway.
  • Possess a university degree in Mathematics, statistics, physics, computer science or related field (minimum of three years or more) that must have been obtained between 30 September 2023 and 30 September 2024 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.
  • A thorough knowledge of English (at least level C1) and good knowledge of other official EU language (at least B2).
Additional Skills

In addition to the eligibility criteria, you will have:

  • Knowledge of statistical concepts and analytical functions, and how to use them on data sets.
  • Understanding of statistical analysis and experimental design.
  • Numeracy, organisational, analytical and problem-solving skills and attention to detail.
  • A flexible and pro-active approach to work.
  • Intellectual and analytical curiosity – initiative to dig into the 'why' of various results.
  • Analytical rigor and the ability to identify actionable insights.
  • Knowledge of statistics software and programming languages such R, python, and SQL.
Behavioural Competencies

You will demonstrate the following behavioural competencies:

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

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