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INTERNSHIP - R&D System Engineering - Data Analysis


JobReq ID:  52261
Type of work:  Hybrid
Type of contract:  Internship
Full/Part Time:  Full time



Project in Scope: Data Driven Module 3 design


Main Duties:

He/She will support technical team and project manager in data collection, cleaning and preparation under supervision of team members.
He/She will be responsible to make analysis and data interpretation on requested subsets
He/She will be also in charge of prepare technical reports to update team members, focusing on key insights relevant with assigned tasks
Academic Backroound:
- Engineering (Industrial/Automation) with knowledge of Data Analysis tools
- Information Technology, with focus on AI and Machine Learning tools, with the willingness to explore real industrial problems
Required Skills:
Ability to work in team as well as autonomously
Ability to prepare technical reporting (Dashboard, Reports)
Ability in Data handling, cleaning and preparation as well as summarize with the help of visual tools (charts, water-falls) to enhance understanding and decision-making


All applications will be reviewed. Our Recruitment team will contact the suitable applicants for the next step of the recruitment process.

We are looking forward to hearing from you!


Diversity and inclusion are a central part of Bridgestone EMEA’s values at the highest level. This is key for our people to show a passion for excellence for improving society connected to the world in which we live. Our commitment to diversity, is linked to our founders mission of ‘Serving Society with Superior Quality’, which is essential in shaping and creating the organization, serving all people, respectfully, connected to our business. We recognize that everyone is different and that attracting, developing and retaining our employees will create a sustainable working environment which is essential to our success. This means that all job applicants and members of staff will receive equal treatment and that we will not discriminate in particular on grounds of gender, marital status, race, ethnic origin, color, nationality, national origin, disability, sexual orientation, religion or age.

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