Key Skills

Job Description

About The Company Solor Plan operates at the forefront of energy and artificial intelligence, focusing on optimizing energy trading and management to contribute directly to a sustainable energy future. We are committed to Plan Zero, an initiative aimed at reducing reliance on gas-fired power plants by smarter trading and more efficient use of batteries and renewable energy sources. Our team comprises data scientists, engineers, and traders working closely to innovate and implement solutions that have a tangible impact on the energy grid. We leverage cutting-edge technology and data-driven insights to optimize the performance of our Virtual Power Plant (VPP), which integrates batteries, charging stations, and solar panels. About The Role As a Data Scientist in Trading & Optimization, you will work at the intersection of energy and AI, where your contributions directly influence the energy network. You will engage with multiple interconnected systems, including weather forecasts, market prices (day-ahead, intraday, imbalance), customer behavior, and the physical operation of our VPP. Your role involves deploying and maintaining high-quality models in production, ensuring seamless integration with engineering teams, and translating model performance into commercial value. You will be responsible for adapting models to evolving market regulations, delivering immediate value to our clients. Staying abreast of the latest AI and machine learning advancements, you will proactively experiment with innovative approaches such as probabilistic forecasting. There is a clear path for career growth, with opportunities to specialize in energy trading, battery optimization, or forecasting as a senior data scientist. Qualifications Minimum of 3 years of experience as a Data Scientist with strong foundations in statistics and machine learning. Demonstrable experience in forecasting or time series analysis. Proficient in Python programming at a production level. Experience deploying and monitoring models in live production environments. Ability to translate model quality into measurable commercial impact. Curious and proactive mindset with a passion for following developments in AI and machine learning. Professional proficiency in the Dutch language. Strong communication skills to collaborate effectively with cross-functional teams. Responsibilities Develop, deploy, and maintain machine learning models related to energy trading and optimization. Work closely with engineers to ensure smooth deployment and operation of models in production. Analyze multiple data sources such as weather forecasts, market prices, customer behavior, and physical asset data. Translate changing market regulations into actionable model adjustments that deliver client value. Continuously monitor and improve model performance to maximize commercial outcomes. Lead experiments with new AI and machine learning techniques, including probabilistic forecasting methods. Communicate complex technical concepts and commercial implications clearly to stakeholders. Participate in interviews and technical assessments to demonstrate your data science expertise and business impact orientation. Benefits Opportunity to work on impactful projects contributing to a sustainable energy future. Collaborative and multidisciplinary team environment. Career growth prospects with specialization opportunities in energy-related data science fields. Exposure to cutting-edge AI and machine learning technologies. Competitive compensation package aligned with experience and expertise. Professional development through continuous learning and experimentation. Equal Opportunity Solor plan is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and encourage applicants from all backgrounds to apply.

Core Responsibilities

Develop, deploy, monitor, and improve machine learning models for energy trading and optimization, using data such as weather forecasts, market prices, customer behavior, and asset operations. Collaborate with engineering and business stakeholders to adapt models to market regulations, experiment with new methods, and translate model performance into commercial value.

Requirements

Requires at least three years of data science experience, strong foundations in statistics and machine learning, and demonstrable forecasting or time series experience. Candidates must be proficient in production-level Python, have experience deploying and monitoring live models, communicate effectively across teams, and be professionally proficient in Dutch.

Benefits

• Impactful Projects Contributing to a Sustainable Energy Future
• Collaborative and Multidisciplinary Team Environment
• Career Growth and Specialization Opportunities
• Exposure to Cutting-Edge AI and Machine Learning Technologies
• Competitive Compensation
• Professional Development