EOSS Diagnostic Service intern

17 ott - Monza
Prysmian Group

Prysmian, as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&I;) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are. All Managers and HRs in Prysmian are responsible for ensuring DE&I; policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression,



sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business. Visit our DE&I; Page to learn more about Prysmian's commitments. Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know. Diagnostics & Data Analysis * Perform advanced data analysis of measurements and field tests. * Prepare clear and detailed technical reports for internal and external stakeholders. * Analysis of PD meas

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