Analyst / data scientist Energy markets

You will be working and learning at the same time. Together, we will work on the following projects, examples:

• Building and implementing regression models, statistical models, and neural networks for forecasting
• Developing automated tools for data processing, analysis, and trading
• Design and develop various algorithms and smart (trading) strategies to be implemented in energy markets
• Develop and implement various optimization models focusing for green power production, and lean and sustainable operational processes

Do you have

• Experience with Python (and libraries such as Numpy, Pandas, Scipy) and R="msolistparagraphcxspfirst">
• Affinity with data analysis, machine learning and mathematical modelling="msolistparagraphcxspfirst">
• Proven experience in data analysis, e.g. regression and statistics="msolistparagraphcxspfirst">
• Experience with building and training neural networks="msolistparagraphcxspfirst">
• Have been exposed to techniques such as: clustering, classification, reinforcement learning, supervised and unsupervised learning, sentiment analysis, etc.="msolistparagraphcxspfirst">
• Knowledge of optimization methods="msolistparagraphcxspfirst">