Internship for a R&D Data Scientist

at  Hitachi

JOB DESCRIPTION:

Our R&D engineers and scientists develop breakthrough technologies that change the way the world works, and industries do business. We constantly push the limits of convention, while retaining our focus on delivering solid returns for our customers and shareholders.
With this internship you will contribute and support the team to meet successful results in Research & Development projects development for our Transformer Business Unit in Monselice (PD).
The internship will be mainly in presence in our Monselice Technology center office: our attention therefore for a candidate who lives near this location or who has a car to be able to easily reach our office.
Job Description:
We are seeking an engineer or data scientist student to join our R&D team for an internship. The successful candidate will be engaged in the development of new optimization tools based on ML/AI, including search and data entry. The preferable candidate will have a background exam in numeric calculation, statistic, or electrical / mechanical engineering.

Your Responsibility:

• Research and implement appropriate ML algorithms and tools.
• Select appropriate datasets and data representation methods.
• Extract and manage data from different Databases.
• Resourcefulness in carrying out data collection activities.
• Resourcefulness and creativity in developing ML models that best fit involved datasets.
• Interact and collaborate with colleagues from Italian Team, Global Technology Centers and Factories worldwide.

Learn how to use specific Software and Simulation tools used in the department.

Your background:

• A Master’s degree in Data Science (or similar), strong Competences in Machine learning and AI. We are also interested in a master’s graduating student who wants to develop a thesis on topics related to ML/AI topics.
• Knowledge of databases access & queries (e.g., SQL server,) environment.
• Knowledge of R Studio and/or Python environment and main ML data science libraries (Pandas, Scikit-learn, Tensorflow, Pytorch).
• Experience designing and debugging neural networks will be consider as a plus.
• Proven experience in ML techniques applicable to real work problems with limited amount of data will be consider as a plus.
• Sound knowledge of MS Office especially Excel, PowerBI (or equivalent).
• Fluent spoken and written English.