Our partner is looking for a Data Scientist (Time Series Forecasting) based in Spain. Join a data-driven team developing advanced forecasting solutions that power a live energy trading platform. Your work will directly support data-informed trading decisions by transforming analytical models into reliable, production-ready code. You will collaborate in a fully remote, distributed environment where quantitative expertise, technical excellence, and practical problem-solving are highly valued. Leveraging Python, SQL, and modern AI-powered coding tools, you will help bridge the gap between sophisticated forecasting techniques and real-world business applications. This opportunity is idóneo for a hands-on data scientist who enjoys solving complex prediction challenges and delivering measurable impact in the evolving energy sector. Data Analysis & Model Optimization: Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to support reliable, data-driven trading decisions. Incorporate agentic coding tools into daily development workflows to accelerate implementation, improve productivity, and support efficient software development. Work with data pipelines, analytical systems, and production environments to ensure forecasting solutions are reliable, maintainable, and suitable for operational use. Bachelor's degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely related quantitative discipline. At least three years of relevant professional experience in data science, quantitative analysis,



forecasting, or a related field. Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Agentic Coding Tools: Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the ability to integrate AI-assisted techniques effectively into software development. Excellent English communication skills, including the ability to explain technical concepts clearly and collaborate with stakeholders in a remote, international environment. Strong quantitative reasoning, attention to detail, and a practical approach to addressing complex forecasting challenges and improving model performance. Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus. Fully Remote Work: Work remotely from anywhere in a distributed team environment. Opportunity to contribute to a global energy trading platform and collaborate with professionals across different locations. Advanced Data Science Challenges: Strengthen your expertise in quantitative modeling, production-grade data science, and applied forecasting in the energy sector. Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidity and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

📌 Data Scientist (España)
🏢 Jobgether
📍 España