Senior data scientist / ai solutions engineer

VASS Benelux in partnership with EU Commission and The Joint Research Centre (JRC) seeks to engage an experienced Data Scientist, in Seville, Spain.

The Joint Research Centre (JRC) is the European Commission's science and knowledge service which employs scientists to carry out research to provide independent scientific advice and support to EU policy. The JRC, in partnership with other Commission services and stakeholders, provides high quality outcomes in relation to its mission, and contributing to the successful implementation of the EU policies.

Objective:

JRC’s objective with this contract is to get a service of AI solutions engineer (AI & data systems) providing support to ongoing projects related to the optimisation of data and information collection, management, in close interaction with scientists. The service provider must be very familiar and ideally have a solid experience with programming, AI tools and data management.

Due to the close interaction with JRC colleagues in the team (so-called EU-BRITE), the external service provider shall be based in Seville and work regularly in JRC premises.

Responsibilities:

The position consists of both general tasks, and specific tasks related to AI tools.

• Interest and acquaintance with engineering, environmental, and Sevilla process aspects, including understanding the current data collection and analysis workflows:
• Collaborating with stakeholders;
• Ensuring information and data quality, validation, and integrity.
• Developing and maintaining internal documentation, including;
• Creating and updating internal procedures and guidelines;
• Developing and maintaining thematic spaces in the SharePoint platform;
• Maintaining the Teams group and ensuring effective communication and collaboration among team members.
• Additional responsibilities may include:
• Collaborating with stakeholders to identify and prioritise data-driven insights and recommendations;
• Participating in training and capacity-building activities to enhance AI and data science skills and knowledge within the team, and the JRC data analyst network.

Specific tasks (AI tools):

1. AI-Powered Technology Scanning

• Develop web crawlers and automated data pipelines to collect information on emerging

technologies.

• Implement AI/NLP models to analyse and categorise technology trends.

• Maintain systems that continuously monitor technology deployment across industries.

• Integrate external data sources, APIs, and databases.

2. AI-Assisted Data Analysis

• Build tools that process and analyse large volumes of stakeholder input (e.g., consultation comments, reports, notes).
• Implement Natural Language Processing (NLP) models for:
• text classification
• topic modeling
• sentiment analysis
• summarisation
• Develop dashboards and analytics systems to support policy teams.

3. Secure Digital Platforms

• Implement data protection and privacy-compliant architectures .

• Ensure compliance with security standards and data governance policies.

• Design systems that allow secure participation in consultation processes.4

4. System Development & Integration

• Design scalable architectures integrating:
• AI models
• databases
• APIs
• cloud services
• Implement CI/CD pipelines for AI-enabled applications.
• Monitor and maintain deployed systems.
• Collaborating on a daily basis with project officers (e.g. authors of the Best Available Techniques Reference Documents – BREFs), IT services (Unit T6), and relevant JRC data teams including participating in agile development methodologies and iterative feedback loops.

Qualifications:

• Excellent knowledge of large-scale text analysis.

• Good knowledge of data governance and compliance.

• Experience with graphs or semantic technologies.

• Familiarity with policy or regulatory data systems.

• Ability to apply high quality standards to all tasks.

• Ability to participate actively in meetings in English language, good communication skills.

• Capability of working in an international/multi-cultural environment, rapid self-starting capability and experience in working in a team, understanding the needs, objectives and constraints of those in other disciplines and functions.

• Ability to adapt to unplanned changes or decisions.

At least 2 years of professional experience in each 3 specific expertise areas are mandatory:

• Computer Science and in particular Artificial Intelligence

• Data Science

• Software Engineering