Descripción de la oferta
EURECATEurecat is one of Europe's 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 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I 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. Job descriptionAre 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 project’s 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. Technical project leadership: Lead AI-related industrial and R&D projects, coordinating technical activities, resources, milestones, risks, deliverables and partners. Understand industrial challenges and translate them into data-driven and AI solutions, defining suitable methodologies, architectures and validation strategies. 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. 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. 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. Contribute to the preparation of competitive national and European research proposals, helping to define innovative concepts, technical methodologies, work plans and project objectives. 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. Contribute to the technical growth of the team by sharing knowledge, mentoring colleagues and promoting good practices in AI development and project execution. 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. 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). RequirementsAcademic Background Computer Science, Telecommunications, Physics, Mathematics, Industrial Engineering, Statistics, Chemistry, or similar. Desirable studies or specialization (Master’s, 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. 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. Job: Data ScientistDepartment: Applied Artificial IntelligenceLocation: Internet and technologyVacancies: 1Discipline: R&DWork modality: Hybrid
