SPX Data Analytics Intern

About the role

As an SPX Data Analytics Intern you will turn sensory and product experience data into actionable insights that drive coffee innovation at Nespresso. You will work with large datasets, support predictive modelling using machine learning, and collaborate with R&D, Marketing, Consumer Insight and IT teams.

Key responsibilities

• Prepare, analyse and model sensory and product experience (SPX) data to develop predictive machine‑learning models.
• Support KPI reporting and build dashboards and visualisations using Power BI or KNIME.
• Perform data‑quality checks and improve the efficiency, reproducibility and traceability of data‑management activities.
• Test and continuously improve data tools while documenting methods, findings and recommendations.
• Collaborate with technical and non‑technical partners and present findings to the SPX team and broader R&D stakeholders.

Required profile

• Currently completing a Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, Engineering, Consumer Science, Sensory Science or a related field.
• Hands‑on experience preparing, analysing, modelling and visualising datasets through academic or practical projects.
• Ability to interpret data and communicate findings clearly to both technical and non‑technical audiences.
• Fluent in English; French or another language is an advantage.

Required skills

• Python
• R
• Snowflake
• Power BI
• KNIME
• Machine learning

What we offer

• Flexible hybrid working options.
• Learning and development opportunities.
• Healthcare contribution and access to an Employee Assistance Program.
• Attractive employee discounts across Nestlé products and services.