Summary from listing
Coloplast is seeking a Master Thesis Program participant to investigate how data-driven forecasting can improve forecast accuracy, transparency, and usability within a selected business area. The project involves evaluating current forecasting practices, analyzing historical sales and forecast data, exploring statistical, machine-learning, or hybrid analytical approaches, and producing practical recommendations for improving forecasting capabilities. The role is based at Coloplast’s global headquarters in Humlebæk, Denmark, with access to business stakeholders, data, feedback, learning activities, and office facilities. Applicants should have a relevant finance, business analytics, data science, statistics, supply chain, operations, strategy, or digital transformation background and must submit a CV, cover letter, and academic transcripts by October 5.
