Data Scientist Intern

• Display technical expertise in machine learning to a team with diversified technical competencies.
• Display proficiency in the application of machine learning in the engineering design process, and use of predictive modeling in engineering and manufacturing process.
• Support developing predictive models and utilizing machine learning/data science techniques such as Hierarchical Clustering, Neural Networks, Ensemble Learning, Random Forest, Naive Bayes, Gradient Boost, etc.
• Consolidate SQL database from multiple sources, data cleaning, and manipulation in preparation for machine learning.

This role contributes to advancing sustainable energy solutions by applying data science to optimize engineering and manufacturing processes in power equipment, supporting the transition to cleaner energy systems.

• Student of Computer Science, Data Science, or related discipline
• Previous Experience of Python (Scikit-learn, XGBoost, Tensorflow, Pytorch, Numpy, Pandas)
• Familiar with Jupyter notebooks, VSCode and Python environment management
• Previous experience on model training, tuning, evaluation and serving
• Basic knowledge of SQL Server or a similar relational database; Proficient in SQL scripting
• Previous experience with building machine learning models and implementation in real-life applications

Annual part-time or full-time internship; remote work option available. No salary mentioned.

Hitachi Energy is a global technology company that advances a sustainable energy future for all, serving customers in the utility, industry, and infrastructure sectors with innovative solutions and services.