Trustworthy AI Data Scientist

Eurecat; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology center in Catalonia is seeking an AI Researcher to join their Trustworthy AI team. This full-time role involves analyzing project requirements, designing AI solutions, and collaborating on research papers. Candidates should have a strong passion for AI, relevant experience, and coding skills in Python or R. The position supports remote work for two days a week.

Formación

• Passion for data and AI with a focus on fair technology.
• Experience in AI compliance and data privacy.
• Ability to write grant proposals for funding.

Responsabilidades

• Analyse project requirements and identify research directions.
• Research state of art and synthesize findings.
• Design and implement AI and data solutions.
• Communicate results with team and stakeholders.
• Write project proposals to target funding opportunities.

Conocimientos

Explainable / interpretable AI

Bias assessment

Privacy enhancing technologies

AI / Data compliance

Data science

Machine Learning

Deep Learning

Software development

Educación

MSc in Computer Science

MSc in Physics

MSc in Mathematics

MSc in Bioinformatics

Herramientas

Python

R

Java

SQL

NoSQL

Descripción del empleo

Overview

The Opportunity: You will join the Trustworthy AI team, a tight group of researchers and developers working on cutting-edge projects in explainable AI, AI compliance, data quality and data value for data markets and data spaces. We’re looking for a smart, curious person who can dive into a diversity of topics and efficiently translate research outputs into AI and data prototypes or products.

Who we are

We’re a technology centre based in Catalonia and one of the biggest tech centres in Southern Europe and the Mediterranean region. The Big Data & Data Science Unit takes part in R&D projects covering a diversity of domains for stakeholders in Europe, Spain and Catalunya. We believe that the benefits of AI and data should be fairly distributed among contributing individuals and believe in the social impact of what we do. We develop domain-agnostic technology, meaning that we’re curious, value a research mindset, and can quickly, but reliably prototype our ideas. Cooperation is chief amongst us and the expertise of one member quickly diffuses through the team, so others can benefit from it as well.

What you’ll do

• Analyse project requirements and identify research directions.
• Research the state of the art, synthesise findings, and identify research and technology gaps.
• Conceptualise, design and implement AI and data solutions.
• Communicate your results with the team and project stakeholders. If interested, join us in writing papers and presenting them in relevant venues.
• Participate in writing project proposals – this is an opportunity to target projects and areas that we’re passionate about and seek funding.

Details

This is a full-time position, in our Barcelona offices or any of our other local offices (Corporate offices of Eurecat in the territory).

The team works partly remote (2 days per week at the office).

To apply

Be sure to include links to your portfolio of projects (your Git page, links to projects you’ve developed and deployed, etc.) or scientific papers.

Requirements

Must-haves in a candidate

• Passion for data and AI, with the added motivation for fair and trustworthy technology.
• Experience in at least one of: explainable / interpretable AI, bias assessment, privacy enhancing technologies, AI / Data compliance.
• You tick at least one of the following boxes :
• Strong background in data science, Machine / Deep Learning, software development
• OR
• MSc in Computer Science, Physics, Mathematics, Bioinformatics, or similar field
• OR
• Convincing portfolio of data science projects sharable on Git
• You code: Python, R, Java, whatever you feel comfortable with. We appreciate clean and readable code, following coding standards.
• You can manage and query both SQL and NoSQL databases.
• Write grant proposals to fund the work that matters to us. From smaller, local projects to top-grade, multi-national European consortia.

Nice to Have

• Prior experience with data governance, data value, data markets, ontologies, knowledge management.
• Experience with Generative AI, Neurosymbolic AI, Federated Learning.
• MLOps – You know how to develop and test AI pipelines, from data ingestion, processing, to model development and evaluation.
• Extra points if you have already been exposed to Data Spaces.