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INTERNSHIP DETAILS

Internship Supply Chain Analytics & AI (m/f/d)

CompanyANDRITZ AG

LocationGraz

Work ModeOn Site

PostedJuly 31, 2026

Internship Information

Core Responsibilities

The intern will support the Operational Excellence team by analyzing supply chain processes using Celonis and AI-driven methodologies to identify inefficiencies. They will also contribute to automation projects, develop performance dashboards, and assist in implementing digital solutions across procurement and logistics.

Internship Type

full time

Company Size

14264

Visa Sponsorship

Language

English

Working Hours

40 hours

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About The Company

ANDRITZ is an international technology group based in Austria. The company offers a broad portfolio of innovative plants, equipment, systems, services and digital solutions for a wide range of industries and end markets. Sustainability is an integral part of the company’s business strategy and corporate culture: With its extensive portfolio of sustainable products and solutions, ANDRITZ aims to make the greatest possible contribution to a sustainable future and help its customers achieve their sustainability goals. ANDRITZ is a global market leader in all four of its business areas: Pulp & Paper Metals Hydropower Environment & Energy Technological leadership and global presence are cornerstones of the group’s strategy, which is focused on long-term profitable growth. The publicly listed group has around 30,000 employees and over 280 locations in more than 80 countries.

About the Role

Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.

We offer a 3-month Internship in our Supply Chain Team in Graz - including the opportunity for an ongoing minor employment.

About the Position

We are looking for a highly motivated intern to support our Supply Chain Management Austria team in driving digital transformation, process excellence, and data-driven decision-making.
This role offers hands-on experience in analyzing supply chain processes, identifying improvement opportunities, and implementing innovative solutions using Celonis, Artificial Intelligence, and automation technologies.
You will work directly with experienced supply chain professionals and contribute to real business improvement projects with measurable impact.

Your Tasks

Support data analytics initiatives within the Operational Excellence Team in Supply Chain Management Austria.
Analyze procurement and supply chain processes using Celonis and process mining methodologies.
Identify inefficiencies, bottlenecks, and automation opportunities across purchasing and operational processes.
Conduct value stream analyses and support continuous improvement initiatives.
Develop dashboards, reports, and performance indicators to increase process transparency.
Apply AI-based tools and analytics to optimize workflows and support decision-making.
Participate in automation projects for procurement and supply chain processes.
Support the implementation of digital solutions and process standardization initiatives.
Collaborate with stakeholders across Procurement, Logistics, Quality, and Operational Excellence.
Prepare management presentations, analyses, and recommendations for improvement projects.
Contribute to strategic initiatives focused on efficiency, cost reduction, and digital transformation.

Your Profile

Ongoing studies in Business Administration, Industrial Engineering, Supply Chain Management, Data Analytics, Information Systems, Computer Science, or a related field.
Strong analytical thinking and interest in data-driven process optimization.
Affinity for digital technologies, AI applications, and automation.
Practical experience gained through internships, university projects, research activities, or student jobs in data analytics, process improvement, supply chain management, procurement, operational excellence, or digital transformation is highly desirable.
First experience with data analysis tools such as Excel, Power BI, SQL, Python, Celonis, or similar is advantageous.
Initial hands-on experience with process mining, automation, business intelligence, machine learning, AI applications, or continuous improvement projects is considered a strong advantage.
Interest in supply chain management, procurement, and operational excellence.
Structured, independent, and solution-oriented working style.
Strong communication and teamwork skills.
Good English skills; German is an advantage.

What We Offer

Direct involvement in strategic digitalization and AI initiatives.
Practical experience with Celonis Process Mining, AI applications, and procurement process automation.
Opportunity to work on real supply chain improvement projects with measurable business impact.
Collaboration with senior supply chain and operational excellence experts.
Dynamic international environment within a leading industrial company.
Possibility of continuing employment on a part-time basis after successful completion of the internship.
Flexible working hours compatible with your studies.
Various employee discounts
Subsidized company restaurant
Parking spaces & public accessibility

In Austria we are legally obliged to announce at least a gross monthly salary of € 2.568,80 for this position. Depending on qualifications and professional experience we offer you a market-based salary.

We pursue a policy of equal rights and opportunities and do not discriminate against any applicants on the basis of gender, ethnic origin, religion, sexual orientation, disability or other protected characteristics. We promote diversi-ty and equal opportunities and place exclusive emphasis on your qualifications, experience and skills that are rele-vant to the advertised position.

Contact partner: Caterina Höller

Key Skills

Supply chain managementData analyticsProcess miningCelonisArtificial intelligenceAutomationProcurementOperational excellenceValue stream analysisBusiness intelligenceSQLPythonPower BIMachine learningProcess standardization