Data Scientist

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.

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.

• 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 ryan.martin@vividresourcing.com.