Intern Data Science (all genders) - #51366

We are looking for a highly motivated Data Science Intern to support our Digital End-to-End (E2E) team within Global Supply Chain & R&D. In this role, you will contribute to advanced analytics, predictive modeling, and data-driven decision-making across our manufacturing, R&D, procurement, planning, and logistics processes. You will help turn complex datasets into actionable insights that improve efficiency, sustainability, and innovation across our global operations.

What We Ask

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, or similar
• Strong programming skills in Python and experience with data science libraries (Pandas, NumPy, Scikit-learn)
• Foundational understanding of machine learning, statistics, and analytical techniques
• Ability to manipulate and analyze complex datasets
• Basic proficiency in SQL
• Strong communication and storytelling abilities
• Curiosity to understand supply chain and R&D processes and ability to connect data with business logic
• Availability for a minimum 5-6 month internship

What We Offer

• A unique opportunity to work on high-impact projects across Global Supply Chain & R&D
• Hands-on experience in developing and deploying data science solutions end-to-end
• Close collaboration with experts in data engineering, data science, and digital transformation
• A learning-oriented, supportive environment with mentorship and continuous feedback
• Access to internal learning sessions, training, datasets, and advanced tools
• A potential pathway to full-time roles in Data Science, Digital, or Advanced Analytics teams
• You will earn 1 vacation day per month based on fulltime internship
• Internship compensation of €500 HBO and €600 WO level on fulltime base
• Join the Interns community within the company and participate in activities.

As a Data Science Intern in the Digital E2E team, you will contribute to the digital transformation of our supply chain and R&D operations. Your responsibilities include:

• Exploring and preparing datasets from manufacturing, R&D, procurement, planning, and logistics domains
• Building predictive and statistical models to support efficiency improvements, scenario planning, recommendation engines and decision-making models
• Contributing to dashboards and automated reporting for global stakeholders
• Running exploratory data analyses to uncover patterns, bottlenecks, and opportunities
• Helping improve existing analytical pipelines and recommend process enhancements
• Presenting insights and outcomes to technical and non-technical stakeholders
• Collaborating with various teams to ensure your solutions align with real business needs

You will gain practical exposure to end-to-end digital initiatives that shape how our global supply chain and R&D functions operate.Staying true to who you really are, that is your starting point at FrieslandCampina. Because it is precisely by embracing our differences that we can grow together. We want to create a working environment that allows all employees to bring their best and authentic selves. If who we are suits you, but you're not sure if you're the best fit for the role, we still encourage you to apply so we can help you find the role that fits you best.

For thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are. We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world. Add a description about the department, team or specific location.