DATA SCIENTIST

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern Europe. 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. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AI-driven solutionsin trending topics including energy optimization in microgrids with renewable energies, advanced storage systems (heat, H2, NH3) and electric vehicle (V2X), interoperable digital twins for advanced monitoring and design of future scenarios, and generative AI for an improved user experience with LLMs, RAG and agentic AI, all in an explainable and etic framework?The Applied Artificial Intelligence Unit of EURECAT is looking for a highly motivated Data Scientist to help us pave the way in digitalization and development of new technologies for creating a smarter and more sustainable future.RESPONSABILITIESAs a valued member of our team, your role encompasses several critical dimensions:Design and implement solutions based on mathematical optimization algorithms and machine/deep learning.Research innovative techniques and methods in the field of artificial intelligence to stay up-to-date with new trends: LLM, Generative AI, Agentic AI, XAI, surrogate modelling etc.Project Leadership: Lead projects and coordinate project proposals.Innovative Solutions: You’ll delve into the intricate world of data-driven solutions, harnessing the power of multimodal data across industrial contexts.Global Impact: Collaborate on scientific publications, sharing your insights with the wider research community.Tailored Growth: We recognize your unique strengths and interests. Your responsibilities will evolve accordingly, fostering personalized development within our team.WHAT EURECAT CAN OFFER YOU?Our group is specialized in applied research and development on ML and AI solutions. The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors. We have over 12 years of experience pushing the adoption of state-of-the-art AI and ML solutions for our private customers as well as for relevant European research projects Check out our portfolio:Hybrid work (3 home office/2 work in the office)Flexible ScheduleShorter workday on Friday and Summer ScheduleFlexible remuneration package (health insurance, transport, lunch, studies - training and kindergarten)Eurecat workers can join the Eurecat Academy coursesEurecat workers can attend to our weekly thematic sessions to be aware of Eurecat areas of knowledge.Language’s training (English, Catalan and Spanish)RequirementsREQUIRED SKILLSMinimum of 4 years of experience in a similar positionPassion for DataScience.Basic studies: Physics, Math.Superior studies: MSc or equivalent in ML, AI, Computer Vision, or a related field.Hands‑on experience with Machine Learning, Deep Learning, with a track record of applying AI techniques.Proficiency in Python and knowledge of basic libraries like Numpy, Pandas, Matplotlib, Scikit‑Learn, SciPy.Knowledge of mathematical optimization and its implementation in python with libraries like Pyomo or PuLP.Valuable knowledge in some deep learning libraries like Keras, PyTorch and Tensorflow.Languages: English. xsgfvud Desirable Catalan and/or Spanish.#J-18808-Ljbffr