Data Scientist
Mondi GroupAustria1 day ago
InternshipEngineering, Information Technology
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For this position applications are welcomed from Austria, Germany, Slovakia, Czech Republic
The Role requires office presence in Vienna
Your mission:
Mondi’s Data Science team drives value by applying machine learning, operations research and AI to business & operational data in the packaging & paper industry. We develop scalable solutions through strong internal & external partnerships to strengthen the competitive advantage of Mondi. We encourage and promote excellence through innovation, creativity and commitment.
We are looking for a skilled and motivated individual with a passion for data science. To succeed in this role, you should have:
We strive to create a culture that inspires our people to reach their full potential. Going the extra mile – for colleagues and customers – our people drive our passion for performance and are the key ingredient of Mondi’s success. Be part of our future.
Do you want to know more about Mondi? We are a global leader in packaging and paper, contributing to a better world through innovative solutions that are sustainable by design. Our global team of 24,000 people works across 100 production sites in more than 30 countries.
Our strength lies in our diversity. We are dedicated to creating a team that reflects the diversity of the world we operate in. We encourage applications from traditionally underrepresented groups, including women, visible minorities, LGBTQI+ individuals, and people with disabilities. Even if you don't meet all the listed qualifications, we still want to hear from you. We believe in your potential and are committed to supporting you as you grow and learn at Mondi. If you need any accommodations during the recruitment process, please reach out to the contact person listed above.
Only CVs uploaded onto our online career platform will be taken into consideration. With your application, you will be redirected to our recruiting platform. After creating an account, you will receive an activation link. If you do not find the email in your inbox, please check your spam folder or add the address [email protected] to your “safe list” or address book.
The Role requires office presence in Vienna
Your mission:
Mondi’s Data Science team drives value by applying machine learning, operations research and AI to business & operational data in the packaging & paper industry. We develop scalable solutions through strong internal & external partnerships to strengthen the competitive advantage of Mondi. We encourage and promote excellence through innovation, creativity and commitment.
- As part of an open-minded and curious team, you'll own the entire data science pipeline—from engaging directly with process experts to developing, prototyping, and deploying solutions—ensuring real-world impact through hands-on, collaborative work.
- You will work in cross-functional international teams consisting of other colleagues of Mondi IT as well as domain experts from our respective business units, paper mills and converting plants.
We are looking for a skilled and motivated individual with a passion for data science. To succeed in this role, you should have:
- Educational Background: A BSc/MSc/PhD in Data Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Engineering, Statistics, Physics, or a related field.
- Professional Experience: 3+ years of proven experience in building data science solutions within a business setting. Experience in the manufacturing industry is advantageous.
- Project Expertise: Hands-on experience in executing end-to-end data science projects with large, real-world datasets withing a business setting. Experience in formulating and developing optimisation algorithms is advantageous.
- Ability to translate complex manufacturing problems into effective analytical solutions.
- Proficiency in Python; additional knowledge of R or other programming languages is advantageous.
- Strong presentation and communication skills, with the ability to convey complex analytical concepts to a wide range of stakeholders, including engineers, operators, and colleagues at all organizational levels.
- Solid (practical and theoretical) understanding of statistics, machine learning techniques and optimisation methods.
- Experience with version control and deploying data science models in production.
- Skills in time series modelling, computer vision, or LLMs are advantageous.
- Experience with cloud environments (AWS/Azure) is advantageous.
- Comfortable working in an agile, international team environment.
- A team player who thrives in collaborative settings.
- Willingness to travel internationally (up to 30%).
- Fluent in English; German is considered a plus.
We strive to create a culture that inspires our people to reach their full potential. Going the extra mile – for colleagues and customers – our people drive our passion for performance and are the key ingredient of Mondi’s success. Be part of our future.
Do you want to know more about Mondi? We are a global leader in packaging and paper, contributing to a better world through innovative solutions that are sustainable by design. Our global team of 24,000 people works across 100 production sites in more than 30 countries.
Our strength lies in our diversity. We are dedicated to creating a team that reflects the diversity of the world we operate in. We encourage applications from traditionally underrepresented groups, including women, visible minorities, LGBTQI+ individuals, and people with disabilities. Even if you don't meet all the listed qualifications, we still want to hear from you. We believe in your potential and are committed to supporting you as you grow and learn at Mondi. If you need any accommodations during the recruitment process, please reach out to the contact person listed above.
Only CVs uploaded onto our online career platform will be taken into consideration. With your application, you will be redirected to our recruiting platform. After creating an account, you will receive an activation link. If you do not find the email in your inbox, please check your spam folder or add the address [email protected] to your “safe list” or address book.
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