Data Scientist – R&D Department
RES
Fecha: hace 1 semana
ciudad: Albacete, Castilla-La Mancha
Tipo de contrato: Tiempo completo
Do you want to work to make Power for Good?
We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.
RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.
Our competitive package offers a wide range of benefits and rewards.
Responsabilities
• Design, develop and deploy data science models to support decision-making and innovation in renewable energy projects.
• Collaborate in R&D projects to evaluate and improve the performance of renewable assets using data-driven approaches.
• Conduct exploratory data analysis to identify patterns, anomalies and improvement opportunities.
• Develop predictive models and forecasting algorithms (e.g. for energy production, failures, maintenance, etc.).
• Contribute to the development of digital tools for operational optimization (e.g., dashboards, KPIs, alerts).
• Integrate and analyse data from SCADA systems, CMMS, sensors, and external datasets.
• Work closely with engineers, technicians and software developers on multidisciplinary projects.
• Participate in defining project objectives, planning timelines and ensuring technical deliverables.
• Generate clear documentation, reports and visualizations to communicate results effectively.
• Monitor data science trends in renewable energy and contribute to internal innovation strategy.
• Collaborate with universities, research centers and industrial partners on applied data science initiatives.
Education
• Degree in Data Science, Engineering, Computer Science, Mathematics or related fields
• English proficiency: B2–C1 level
Requirements
• Experience in data analysis, machine learning, and statistical modeling using tools such as Python, SQL, R, Jupyter, etc.
• Proficiency in data processing pipelines (ETL) and working with structured and unstructured datasets
• Solid knowledge of renewable energy sector: wind, solar, storage, hydrogen, etc.
• High proficiency in data visualization tools: PowerBI, Tableau, matplotlib, Plotly
• Experience with time-series data from SCADA systems or IoT sensors
Knowledge of any of the following topics would also be advantageous:
• Familiarity with digital twins, predictive maintenance, and reliability modeling
• Knowledge of cloud platforms (Azure, AWS, GCP) and deployment of ML models
• Use of version control systems: Git, GitHub, Azure Repos
• Understanding of data governance, data quality, and cybersecurity
• Experience working in multidisciplinary environments
At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.
RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.
Our competitive package offers a wide range of benefits and rewards.
Responsabilities
• Design, develop and deploy data science models to support decision-making and innovation in renewable energy projects.
• Collaborate in R&D projects to evaluate and improve the performance of renewable assets using data-driven approaches.
• Conduct exploratory data analysis to identify patterns, anomalies and improvement opportunities.
• Develop predictive models and forecasting algorithms (e.g. for energy production, failures, maintenance, etc.).
• Contribute to the development of digital tools for operational optimization (e.g., dashboards, KPIs, alerts).
• Integrate and analyse data from SCADA systems, CMMS, sensors, and external datasets.
• Work closely with engineers, technicians and software developers on multidisciplinary projects.
• Participate in defining project objectives, planning timelines and ensuring technical deliverables.
• Generate clear documentation, reports and visualizations to communicate results effectively.
• Monitor data science trends in renewable energy and contribute to internal innovation strategy.
• Collaborate with universities, research centers and industrial partners on applied data science initiatives.
Education
• Degree in Data Science, Engineering, Computer Science, Mathematics or related fields
• English proficiency: B2–C1 level
Requirements
• Experience in data analysis, machine learning, and statistical modeling using tools such as Python, SQL, R, Jupyter, etc.
• Proficiency in data processing pipelines (ETL) and working with structured and unstructured datasets
• Solid knowledge of renewable energy sector: wind, solar, storage, hydrogen, etc.
• High proficiency in data visualization tools: PowerBI, Tableau, matplotlib, Plotly
• Experience with time-series data from SCADA systems or IoT sensors
Knowledge of any of the following topics would also be advantageous:
• Familiarity with digital twins, predictive maintenance, and reliability modeling
• Knowledge of cloud platforms (Azure, AWS, GCP) and deployment of ML models
• Use of version control systems: Git, GitHub, Azure Repos
• Understanding of data governance, data quality, and cybersecurity
• Experience working in multidisciplinary environments
At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.