Are you interested in developing innovative solutions that make Elopak’s data architecture better, faster, and more accessible every day? Do you want to develop predictive models that make our factories smarter? That is what data science at Elopak is all about! Interested? Keep reading!

How you contribute in your role

You like to take the lead in developing, implementing, maintaining, supporting and rolling-out the manufacturing data architecture. You are the owner of the architecture and its technical components, like data warehouses, business intelligence applications, cloud components and digital twin applications.

With the data architecture as a basis, you work with great enthusiasm to develop innovations to support use cases in line with business requirements. Your analytic and predictive models will be used to further optimize the production process in order to improve quality, delivery and efficiency.

In order to continuously improve the capabilities in the area of data analytics and data science, you are an expert in collecting and analyzing business requirements and translating this into functional and technical requirements and effective solutions, as well as managing the change process around it.

You will be working closely together with the Production Competence Center, which is developing, maintaining and rolling-out Elopak’s Manufacturing Execution System, as well as with stakeholders in Production, Quality and IT departments.

What we appreciate about you

In your role as a Data Scientist / Engineer you are forward leaning and analytical. You have a good dose of curiosity and you have the energy to learn a lot at a fast pace. You are ambitious and pro-active when it comes to working with large and complex data streams, and the technologies required for this. You are accurate, organized and able to work under pressure. Manufacturing operations is relying on your solution. You have a hands-on mentality and you enjoy to work within multi-disciplinary teams. You support and challenge your colleagues with data analysis and data science initiatives.

Job requirements

• A completed Bachelor / Master program in a quantitative discipline, preferably in IT technology / Data Science.

• Excellent knowledge of data management, database technology, business intelligence and data science technologies.

• Experience with Industry 4.0 / IIoT technology.

• Ability to build relationships with internal stakeholders.

• Good English skills, both written and verbal.

• Ability to travel a few times a year to our other Elopak locations.

Our offer 

The position is based at our factory in Lystrup, just outside Aarhus, with excellent transport links via the light rail, bus network, and motorway system. Working hours are within normal business hours, with flexibility to accommodate your individual needs and preferences.

We offer an attractive compensation and benefits package, including a unique pension scheme, private health insurance, an active employee association, fitness reimbursement, a subsidised canteen, and continuous opportunities for professional and personal development throughout your career at Elopak.

Good salary depending on knowledge, skills, and experience.

Did you become curious?
Are you excited about the possibilities of data-driven working at Elopak? Don’t hesitate to apply or ask for more information! Send a message to Martin Leegwater Specialist Director Digitalization at martin.leegwater@elopak.com or call +31 115 682 235.

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