Data-Driven Forecasting Master Thesis – Commercial Finance

About the role

Coloplast’s Master Thesis Program offers final‑stage master students the chance to combine academic research with hands‑on experience in a global healthcare company. This 2027 project focuses on improving data‑driven forecasting within Commercial Finance.

Key responsibilities

• Evaluate current rolling‑forecast practices and identify accuracy gaps.
• Analyse historical sales and forecast data to uncover patterns.
• Explore statistical, machine learning or hybrid forecasting approaches.
• Produce practical insights and recommendations to enhance forecast transparency and usability.

Required profile

• Study background in finance, economics, business administration, data science, applied statistics, supply‑chain or related fields.
• Interest in forecasting, planning and business performance management.
• Comfort working with data, uncertainty and business assumptions.
• Ability to translate analytical findings into clear business recommendations.

What we offer

• A dedicated Coloplast sponsor and regular feedback sessions.
• Access to relevant business stakeholders, data and insights.
• Learning activities, networking opportunities and a laptop for the project period.
• Office facilities at the global headquarters in Humlebæk.