Location:Viby J, DK
At Arla Foods, we are committed to creating the future of dairy through innovation, sustainability, and collaboration. As a farmer-owned cooperative and one of the world’s leading dairy companies, we produce household-favourite brands while striving to make a positive impact on people and the planet.
We are now looking for a data-driven, curious, and growth-minded Data Scientist to join our Commercial Excellence Team. If you are passionate about turning complex data into actionable insights and want to make a real business impact, this is your opportunity.

WHAT WILL MAKE YOU SUCCESSFUL

We are looking for a Data Scientist who is not only technically skilled but also driven by curiosity and a passion for creating value. You are proactive and thrive on identifying opportunities for improvement, always ready to share new ideas and perspectives on how data can be leveraged to drive the business forward. Besides this, we imagine that you bring:

• A University degree in a quantitative field such as statistics, econometrics, mathematics, or data science
• 2-5 years of hands-on experience, where you have applied advanced analytics to real-world business problems
• An analytical mindset with the ability to synthesize data from multiple sources
• Proficiency in Python and/or R, and SQL
• Experience working with large, complex datasets (e.g., Nielsen, SAP, retailer ePOS)
• Strong understanding of relational databases (e.g., Oracle, SQL Server)
• Advanced Excel skills and strong data visualization capabilities (PowerBI or similar)
• Preferably experience with Databricks

• Translate business objectives into data science problems and develop solutions that drive commercial value
• Design, optimise, and deploy advanced analytics models to support NRM strategies
• Continuously improve existing models and develop new ones to meet evolving business needs
• Visualise insights using tools like Power BI and communicate findings to stakeholders in a clear, compelling way
• Conduct exploratory data analysis, test hypotheses, and uncover trends and patterns
• Ensure high-quality code, documentation, and scalable, stable solution