Grundlæggende

Junior Supply Chain Data Scientist - Internship

casole d'elsa, toscana, Italy Selskab: JR Italy Klient / Arbejdsgiver: PRAMAC
Opslået: 18.05.2026
Afslutningsdato: 02.07.2026
Jobreference: 151a69715add56c8522c442161d38eda

Jobinformation

Beliggenhed
casole d'elsa, toscana, Italy
Selskab
JR Italy
Klient / Arbejdsgiver
PRAMAC
Jobreference
151a69715add56c8522c442161d38eda
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
18.05.2026
Afslutningsdato
02.07.2026

Jobbeskrivelse

Pramac, part of the world’s leading gas generator and third largest diesel generator manufacturer, is looking for a Junior Supply Chain Data Scientist.


We are seeking a motivated and dynamic Junior Data Scientist to join the Supply Chain team at Pramac Group Headquarters. This role offers a unique opportunity to gain hands-on experience in a fast-growing, international company. As part of the Supply Chain Analytics team, you will play a key role in leveraging data to optimize operational processes and driving data-informed decision-making.


Main accountabilities:

  • Participation in Supply Chain digital transformation projects
  • Data analysis and reporting activities using Excel, Python, or similar tools
  • Support in process mapping and workflow optimization initiatives
  • Assistance in project planning, task coordination, and follow-up activities
  • Collaboration with IT, Operations, Procurement, and Logistics teams
  • Preparation of dashboards, KPIs, and operational reports
  • Support in identifying automation opportunities for repetitive activities
  • Participation in meetings with internal stakeholders


Knowledge & Skills:

  • Basic knowledge of Project Management principles
  • Basic programming and data analysis skills (Python preferred)
  • Good analytical and problem-solving skills
  • Good knowledge of Microsoft Office package, especially Excel and PowerPoint
  • Familiarity with data visualization and reporting tools is considered a plus (e.g. PowerBI, Data visualization in Pyhton)
  • Strong communication and interpersonal skills
  • Teamwork attitude and proactive approach
  • Good knowledge of English


Requirements:

  • Degree in a STEM field (Engineering preferred)
  • Junior profile; thesis internship candidates are also welcome
  • Enthusiastic about Artificial Intelligence technologies and interested in following the latest AI developments and trends
  • Precision, curiosity, and attention to detail
  • Availability to work on-site in a dynamic and cross-functional environment


Job Location

  • Casole d’Elsa (Siena)


If you feel you have the right skill set to meet the role then please do not hesitate to contact us.

We want to hear from you!

Færdigheder

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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