Sonova AG
Stäfa
11 hours ago
Intern - Data / Data Science (m/f/d)
- 01 May 2026
- 100%
- Permanent position
- Stäfa
About the job
Staefa, Switzerland
Intern - Data / Data Science (m/f/d)
Stäfa, Switzerland | 6 months | R&D
We are looking for a Data / Data Science Intern to support our innovation platform by cleaning, preparing, analysing, and visualising complex datasets from research studies.
This role is hands-on and close to real-world data: you will work with JSON-based datasets, transform them into meaningful formats, and build dashboards or visual tools that help researchers extract insights and make evidence-based decisions.
What you’ll do:
- Clean, structure, and prepare large-scale study data (e.g. JSON → CSV)
- Identify and resolve data inconsistencies, gaps, and quality issues
- Analyse datasets from hearing aids, questionnaires, and environmental sources
- Build dashboards and visualisations to support researchers
- Support data exploration, pattern detection, and anomaly identification
- Collaborate with developers and researchers to improve data usability
What we’re looking for:
- Student or graduate in Data Science, Engineering, CS, or similar
- Understanding of data cleaning and basic data science principles
- Experience with R or Python
- Interest in data analysis and visualisation
- Curious mindset and eagerness to learn
- English (working level)
Why Sonova:
As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.
We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.
- A hands-on internship in a global medtech innovation environment
- Real responsibility and ownership of meaningful data challenges
- Insights into medical data, AI-driven platforms, and R&D processes #LI-NB1