AI Data Scientist (Applied AI for Industry)

Eurecat is one of Europes leading technology centers for accelerating innovation in companies. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology industry and sustainability and collaborates with industry in RDI activities and projects offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors accelerating innovation reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.

Are you passionate about Artificial Intelligence and interested in leading innovative R&D projects that bring cutting-edge technologies into real industrial applications

The Applied Artificial Intelligence Unit at EURECAT is looking for an experienced AI Data Scientist to lead industrial and research projects focused on the development and application of advanced AI and data-driven solutions.

Our team works at the intersection between research and industrial implementation collaborating both with private companies and within competitive national and European R&D programmes. We develop solutions for process monitoring prediction optimization decision support and autonomous operation across a wide range of industrial sectors.

You will join a multidisciplinary research team where you will have the opportunity to lead projects interact directly with industrial and research partners shape technical solutions and contribute to the definition of future R&D activities.

The position combines technical expertise in Artificial Intelligence with project leadership. You should have a strong AI background and hands-on experience that allows you to understand the technologies define appropriate technical approaches participate in the research activities and guide the projects team to a success.

You will work with technologies ranging from advanced Machine Learning and time-series analytics to surrogate modelling physics-informed AI Generative AI LLMs and Agentic AI continuously exploring emerging technologies and solutions that can generate value in industrial environments.

RESPONSABILITIES:

As part of the Applied Artificial Intelligence team your responsibilities will include:

• Technical project leadership: Lead AI-related industrial and R&D projects coordinating technical activities resources milestones risks deliverables and partners.

• AI solution definition: Understand industrial challenges and translate them into data-driven and AI solutions defining suitable methodologies architectures and validation strategies.

• Technical guidance: Support and guide Data Scientists and Machine Learning Engineers throughout the development of AI solutions reviewing technical decisions and ensuring the scientific and technical quality of the work.

• Client and partner interaction: Act as a technical reference for industrial clients and project partners communicating complex AI concepts clearly and connecting technological possibilities with real business and operational needs.

• Cutting-edge technology scouting: Stay up to date with emerging AI technologies and assess their applicability to industrial challenges including advanced Machine Learning Deep Learning time-series modelling GNNs PINNs Generative AI LLMs and Agentic AI.

• R&D proposal development: Contribute to the preparation of competitive national and European research proposals helping to define innovative concepts technical methodologies work plans and project objectives.

• Research and innovation: Identify new research opportunities and contribute to scientific publications technological assets and the transfer of research results into industrial applications.

• Project portfolio development: Collaborate with the team in identifying new opportunities with industrial companies and research partners and in shaping new AI-driven projects.

• Team development: Contribute to the technical growth of the team by sharing knowledge mentoring colleagues and promoting good practices in AI development and project execution.

WORKING ENVIRONMENT AND BENEFITS:

This position is located either in Barcelona (Poblenou) or in Cerdanyola del Vallès near Barcelona (Spain). Besides being well connected to the rest of Europe Barcelona area offers an excellent quality of life and a vibrant technology ecosystem with leading research centres innovative companies active communities and a wide range of events and networking opportunities.

Additionally we offer:

• Permanent contract.

• Hybrid work model (home office and office-based work).

• Flexible working hours shorter Fridays and intensive summer working schedules.

• Flexible remuneration package (health insurance transport meal vouchers training and childcare).

• Professional development through Eurecat Academy courses weekly knowledge-sharing sessions and language training (English Catalan and Spanish).

Academic Background

• Computer Science Telecommunications Physics Mathematics Industrial Engineering Statistics Chemistry or similar.

• Desirable studies or specialization (Masters Postgraduate or PhD) in Data Science AI Deep Learning Reinforcement Learning or similar.

Required Skills and Experience

• At least 2 years of experience in AI/ML including hands-on experience developing data-driven solutions.

• Solid knowledge of current and emerging AI technologies including Machine Learning Deep Learning time-series modelling Generative AI LLMs and Agentic AI.

• Experience leading technical projects or work packages coordinating activities milestones and deliverables. Experience in industrial sector will be a plus. Strong communication skills and experience interacting with clients partners and multidisciplinary teams.

• Critical thinking autonomy curiosity and willingness to learn new industrial domains.

• Professional English and availability to travel when required.

• Highly valued: experience in industrial AI applications and/or competitive European or national R&D projects.