Data Science Intern – Finance (Procurement Analytics)

Location: Rotterdam (Hybrid)

Duration: 12 months

Team: Data Science & AI

Role Overview

We are looking for a Finance Data Science Intern to join our Data Science & AI team, working closely with Procurement and Finance stakeholders. This role focuses on building data-driven insights into procurement spend, cost structures, and supplier behavior across global operations.

You will work on real-world financial datasets, helping improve cost transparency, classification accuracy, and decision-making at scale.

Key Responsibilities

Expand Procurement Data Models
Enhance existing datasets and dashboards beyond Europe
Cost Classification (CAPEX vs OPEX)
Develop data models to classify procurement spend at PO level, improving financial reporting accuracy.
Granular Spend Analytics
Design and implement a second-level category taxonomy to enable deeper analysis of invoice and PO line items.
Price vs Volume Decomposition
Build analytical models to separate price and volume effects at item level for key suppliers and spend categories.
Supplier & Spend Insights
Generate actionable insights on cost drivers, supplier trends, and procurement efficiency.

What You’ll Work With

Large-scale procurement and invoice datasets
SQL, Python (Pandas, PySpark)
Data platforms (e.g., Databricks or similar)
Real business problems with direct stakeholder exposure

Your Profile

Currently pursuing a Bachelor’s or Master’s in Data Science, Computer Science, Econometrics, or a related field
Strong analytical skills with experience in Python and SQL
Comfortable working with structured financial or transactional data
Interest in finance, procurement, or cost analytics
Ability to translate messy real-world data into structured insights

What You’ll Gain

Hands-on experience with enterprise-scale financial data
Exposure to procurement and cost optimization strategies
Opportunity to work directly with senior stakeholders in Data & Finance
A chance to build models that influence real business decisions

Nice to Have (Not Required)

Experience with classification problems or NLP (for spend categorization)
Familiarity with financial concepts (CAPEX/OPEX, POs, invoices)
Experience with BI tools (Power BI, Tableau)

Apply now!

VTTI

Vacatures

Data Science Intern