PpWorking 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. /p h3Responsibilities /h3 ul liDevelop 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. /li liDesign and implement feature engineering and data preprocessing workflows for smart meter, IoT, sensor, operational, weather, market, and time-series energy datasets. /li liApply statistical techniques and machine learning algorithms to solve complex energy challenges, improve system performance, and support data-driven decision‑making. /li liBuild, validate, and evaluate predictive models using robust experimentation frameworks, validation methodologies, and performance metrics to ensure reliability and business impact. /li liCollaborate with engineering, operations, and business teams to translate data insights into actionable recommendations and scalable solutions. /li liDevelop dashboards, reports, and analytical tools that enable stakeholders to monitor key performance indicators and energy-related metrics. /li /ul h3Your Profile /h3 ul li2–5+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field. /li liStrong programming skills in Python and experience with data science libraries such as Pandas, NumPy, Scikit‑learn, XGBoost, TensorFlow, or similar. /li liExperience developing predictive models and applying statistical analysis to operational or industrial datasets. /li liStrong understanding of data preparation, feature engineering, model evaluation, and experimentation methodologies. /li liExperience working with time‑series forecasting, anomaly detection, or predictive analytics is highly beneficial. /li liProficiency in SQL and working with large‑scale datasets. /li liFamiliarity with cloud platforms such as AWS, Azure, or GCP is advantageous. /li liExposure to the energy sector, utilities, renewable energy, smart grids, sustainability initiatives, or industrial analytics is considered a strong plus. /li /ul h3The Offer /h3 ul liHybrid working setup with offices located in Ghent. /li liOpportunity to contribute to innovative data science solutions that accelerate the energy transition and support sustainability goals. /li liStrong emphasis on technical development, experimentation, and applied machine learning. /li liCompetitive salary package of up to €6,000 depending on experience and interview performance. /li liCompany car or mobility budget included. /li li13+ ADV days. /li liClear pathways for progression into Senior Data Scientist, Lead Data Scientist, or Analytics Leadership positions. /li liCollaborative and mission‑driven team focused on building the next generation of sustainable energy solutions. /li /ul pIf this opportunity excites you, apply today or send your CV and a short cover letter to /p /p #J-18808-Ljbffr