Data Scientist & Energy Optimisation Engineer

Join us to build AI and optimisation software powering the decarbonisation of industry.DCARBO is looking for a Data Scientist & Energy Optimisation Engineerto support the development of advanced forecasting, optimisation and market participation models for industrial energy flexibility.We are looking for a motivated and curious person who enjoys solving complex challenges and transforming research ideas into practical tools.Company DescriptionUnique blend of R&D and industrial deployment : DCARBO develops innovative technologies for industrial decarbonisation while also deploying them in real industrial environments.Team members have the opportunity to contribute both to cutting-edge research and to practical implementation of thermal batteries, energy flexibility solutions and industrial energy systems.This creates multiple career paths ranging from innovation and product development to industrial project execution.Job Description:The successful candidate will play a central role in the development of the modelling engines behind advance energy management platforms including demand-side grid flexibility and energy planning.Your responsibilities will include:Develop optimisation models for industrial energy systems and thermal energy storage.Build forecasting models for energy demand, renewable generation and market prices.Develop machine learning and AI solutions.Support the implementation of flexibility strategies for energy markets including bidding.Contribute to techno-economic modelling and scenario analysis.Collaborate with software engineers to deploy models into production environments.Participate in European research and innovation projects.Required SkillsStrong machine learning background.Experience with data science workflows and model development.Experience handling large datasets.Ability to work independently and learn new concepts rapidly.Excellent analytical skills.Valuable ExperienceElectricity markets.Grid flexibility.Thermal systems.Mathematical optimisation.Pyomo.Forecasting methods.Stochastic optimisation.Deep learning.Digital twins.What We OfferFlexible and predominantly remote work with some physical monthly meetings in Barcelona area.Direct involvement in European innovation projects.Opportunity to shape the technical future of DCarbo’s software.High degree of autonomy and responsibility.Dynamic and innovative working environment.Unique blend of R&D and industrial deployment.DCARBO develops innovative technologies for industrial decarbonisation while also implementing them in real industrial projects.Team members can contribute to European research projects, software product development and the deployment of thermal batteries, flexibility solutions and industrial energy systems.Depending on personal interests and career goals, opportunities exist to specialise in research activities, industrial projects or both.Long-term growth opportunities within a company operating at the intersection of software, energy and AI.#J-*****-Ljbffr

Strong machine learning background. Experience with data science workflows and model development. Experience handling large datasets. Ability to work independently and learn new concepts rapidly. Excellent analytical skills. Valuable Experience Electricity markets. Grid flexibility. Thermal systems. Mathematical optimisation. Pyomo. Forecasting methods. Stochastic optimisation. Deep learning. Digital twins.