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Traineeship with Computer / Data Science Background in MPD (Material, Process Delivery) Department (m/w/d)

Procter & Gamble -
Spittal an der Drau, K

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Details zur Stelle

Vollzeit

Vollständige Stellenbeschreibung

Spittal a.d. Drau, Austria Manufacturing and Quality Assurance R000147408 Full time Internships

Job Location

SPITTAL A.D. DRAU PLANT

Job Description

YOUR FUTURE EMPLOYER

From its foundation 185 years ago as a soap and candle start-up, P&G today is a leading consumer goods company. We are home to iconic, trusted brands that touch 5 billion consumers worldwide and make life a little bit easier in small but meaningful ways. We want you to bring your insight, creativity, and passion to join our dedicated teams who have helped us grow into a global company.

Our people are our greatest asset: with our philosophy of promotion from within, we place strong emphasis on employee development and are committed to finding and fostering world-class talent. Learn from our inspiring leaders, shape our supportive and welcoming culture, and place your personal development at the core of your work.

Your challenge - Making a world class product!

The production site in Spittal an der Drau has been part of this success story since 2018 and has become one of the largest industrial employer in Upper Carinthia with approximately 460 employees. We work on the development and production of solid and semi-solid food supplements and drug formulations, such as Femibion, Bion3, Neurobion, Kytta or Vigantol.

Our traineeship positions offer students the unique opportunity to test technical competence and management talent under real conditions and with specific tasks. A growing proportion of our junior staff are former interns.

From Day 1, we want you to be part of our team which works on projects focused on inventing, reapplying and developing technologies required to support the production process of our extraordinary consumer products.

YOUR ROLE

As a Trainee in MPD you will support ongoing process verification (OPV) activities by analyzing real manufacturing and quality data in a dynamic production environment from day one.
You will perform trend analysis, identify variability drivers, and explore correlations between CQAs and CPPs/IPCs to generate data-driven insights that contribute to process optimization and performance improvement.
Using statistical tools alongside Python and Microsoft Power BI, you will also support the development of automated analyses and dashboards for enhanced process monitoring and decision-making.

WHAT WE OFFER

9-12 months traineeship working on projects with complex technical tasks, independence and rapidly growing personal responsibility in a young, dynamic team
Activities together with other interns
Possible stepping stone to a direct entry after graduation
Compensation: This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Chemical Industry in employment group I.

Job Qualifications

Minimum 4-6 completed semesters in Computer Science, Data Engineering, or related IT field
Strong interest in data processing, visualization, and automation
Basic knowledge of Python, SQL, or similar programming languages
Ability to work with process and quality datasets (data cleaning, structuring, tagging)
Good communication skills for cross-functional collaboration (IT, QA, Manufacturing)
Availability from July 2026

Job Schedule

Full time

Job Number

R000147408

Job Segmentation

Internships

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