Working as a data scientist in an innovative energy technology company where you will apply machine learning, statistical modelling, and advanced analytics to develop data-driven solutions that improve energy efficiency, optimize operations, and support the transition toward more sustainable energy systems.
Is this the role you are looking for If so read on for more details, and make sure to apply today.
Responsibilities
• Develop and deploy predictive models for energy applications including energy demand forecasting, renewable energy production prediction, asset health monitoring, predictive maintenance, anomaly detection, and operational optimization.
• Design and implement feature engineering and data preprocessing workflows for smart meter, IoT, sensor, operational, weather, market, and time-series energy datasets.
• Apply statistical techniques and machine learning algorithms to solve complex energy challenges, improve system performance, and support data-driven decision-making.
• Build, validate, and evaluate predictive models using robust experimentation frameworks, validation methodologies, and performance metrics to ensure reliability and business impact.
• Collaborate with engineering, operations, and business teams to translate data insights into actionable recommendations and scalable solutions.
• Develop dashboards, reports, and analytical tools that enable stakeholders to monitor key performance indicators and energy-related metrics.
Your Profile
• 2–5+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field.
• Strong programming skills in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, or similar.
• Experience developing predictive models and applying statistical analysis to operational or industrial datasets.
• Strong understanding of data preparation, feature engineering, model evaluation, and experimentation methodologies.
• Experience working with time-series forecasting, anomaly detection, or predictive analytics is highly beneficial.
• Proficiency in SQL and working with large-scale datasets.
• Familiarity with cloud platforms such as AWS, Azure, or GCP is advantageous.
• Exposure to the energy sector, utilities, renewable energy, smart grids, sustainability initiatives, or industrial analytics is considered a strong plus.
The Offer
• Hybrid working setup with offices located in Ghent.
• Opportunity to contribute to innovative data science solutions that accelerate the energy transition and support sustainability goals.
• Strong emphasis on technical development, experimentation, and applied machine learning.
• Competitive salary package of up to €6,000 depending on experience and interview performance.
• Company car or mobility budget included.
• 13+ ADV days.
• Clear pathways for progression into Senior Data Scientist, Lead Data Scientist, or Analytics Leadership positions. xphnsxz
• Collaborative and mission-driven team focused on building the next generation of sustainable energy solutions.
If this opportunity excites you, apply today or send your CV and a short cover letter to