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Data Scientist - Supply Chain & Procurement

Geleen, Netherlands; Cologne, Germany; Manchester, United Kingdom; Colmar, France; Slough, United Kingdom; O Porriño, Spain
France, Colmar
Germany, Cologne
Netherlands, Geleen
Spain, Porrino
United Kingdom, Manchester
United Kingdom, Slough

Data Scientist – Supply Chain & Procurement

Location – UK/Belgium/France/Germany/Netherlands/Spain

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is dedicated individuals collaborating, generating ideas that contribute to businesses and society. In return, we empower our employees to shape their career paths. Their innovative ideas, whether big or small, truly make a positive impact on the world. And that’s the kind of work we aspire to be a part of.

Role Purpose:

The incumbent of the role will support initiatives for Procurement and Supply Chain teams at Global level as well as communication and deployment across all Lonza sites. Develop and implement continuous improvement initiatives across global processes, tools and systems; using innovative and trending solutions.

Research and provide timely, accurate solutions and market analytics to the Procurement and Supply Chain teams. Support the definition of the digital needs and priorities in collaboration with the corresponding teams and collaborators. Support the implementation of new advanced digital technologies enabling more efficient and effective ways of working as well as fostering growth and simplification. By providing insights, benchmarking, and external intelligence, contribute significantly to driving continuous improvement within their area and enabling the function to excel.

Key Accountabilities:

  • Support consolidation of Global Procurement and Supply Chain data to bring accuracy and transparency of processes such as spend analytics, Procurement and Supply Chain savings realization, demand forecasting, warehouse management, among others; across all Lonza sites.
  • Assist in the analysis of Procurement and Supply Chain data to improve efficiency and support collaboration with key Lonza collaborators, customers, partners, and team members.
  • Assist in the development and implementation of Global Procurement and Supply Chain procedures and guidelines (incl. SOP’s, policies...)
  • Connect and collaborate with internal collaborators, including teams in Procurement and Supply Chain, as well as Corporate Functions. Ensure effective communication, particularly during change implementation.
  • Participate in global projects to either implement or enhance systems and processes across the whole Procurement and Supply Chain organizations and ensure full accountability in the overall achievement.
  • Perform data validation and testing phases, before promoting solutions to Production/Live environments

Key requirements:

  • Must have analytical skills and an understanding of system databases, data elements, and application software solutions to improve data gathering and data analysis.
  • Understanding or experience of current trends in “Big Data”, “Cognitive Computing” and Machine learning algorithms.
  • Competence in business and finance, proficiency in IT, analytical skills with data, experience using SAP (ERP, BW, Lumira), and familiarity with Power BI.
  • Technical expertise in analytical programming languages like R & Python and hands on experience on data mining/statistical tools like SAS, XLMiner and MatLab.
  • Preferably knowledgeable in Procurement and Supply Chain processes.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Reference: R63223

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