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Intern - Data / Data Science(m/w/x)
Preparing complex JSON datasets and building dashboards for hearing health research. Experience with R or Python and data analysis principles required. Flexible hybrid work, exceptional growth opportunities.
Requirements
- 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)
Tasks
- Clean and prepare complex datasets
- Work with JSON-based datasets
- Transform data into meaningful formats
- Build dashboards and visual tools
- Support researchers in extracting insights
- Clean and structure large-scale study data
- Convert JSON data to CSV format
- Identify and resolve data inconsistencies
- Address data gaps and quality issues
- Analyse datasets from hearing aids
- Analyse questionnaire data
- Analyse environmental data
- Support data exploration
- Detect patterns in data
- Identify anomalies in data
- Collaborate with developers
- Collaborate with researchers
- Improve data usability
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Flexible Working
- Flexible hybrid working model
Learning & Development
- Training opportunities
- Individual development plans
Career Advancement
- Exceptional growth opportunities
Diverse Work
- Meaningful data challenges
Other Benefits
- Insights into medical data
- Insights into AI-driven platforms
- Insights into R&D processes
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Intern - Data / Data Science(m/w/x)
Preparing complex JSON datasets and building dashboards for hearing health research. Experience with R or Python and data analysis principles required. Flexible hybrid work, exceptional growth opportunities.
Requirements
- 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)
Tasks
- Clean and prepare complex datasets
- Work with JSON-based datasets
- Transform data into meaningful formats
- Build dashboards and visual tools
- Support researchers in extracting insights
- Clean and structure large-scale study data
- Convert JSON data to CSV format
- Identify and resolve data inconsistencies
- Address data gaps and quality issues
- Analyse datasets from hearing aids
- Analyse questionnaire data
- Analyse environmental data
- Support data exploration
- Detect patterns in data
- Identify anomalies in data
- Collaborate with developers
- Collaborate with researchers
- Improve data usability
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Benefits
Flexible Working
- Flexible hybrid working model
Learning & Development
- Training opportunities
- Individual development plans
Career Advancement
- Exceptional growth opportunities
Diverse Work
- Meaningful data challenges
Other Benefits
- Insights into medical data
- Insights into AI-driven platforms
- Insights into R&D processes
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sonova AG
Industry
Healthcare
Description
The company builds systems to render speech clear and free of noise using deep learning technology, empowering people with hearing loss.
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