Intern Data Science and Automation (m/f/d)

About the job

As the fifth largest canton in Switzerland with around 6000 employees, we at the cantonal administration are committed to the common good of society. With an impressive variety of services, our work affects all areas of life, be it education, economy, law, security, nature, health, construction, culture, and finance. Through our meaningful work, we leave a small footprint every day, as it is relevant to over half a million people.


To support our team in the area of workflow management and automation, we offer a fixed-term internship starting from 1 January 2027 or by arrangement.

Intern Data Science and Automation (m/f/d)

• Automation of processes in data collection, for example receiving, checking, and providing feedback on data deliveries
• Building and documenting reproducible pipelines, from data delivery through plausibility checks to the final output
• Statistical evaluation of the data quality required for planning processes
• Conversion of existing scripts into reusable, tested functions
• Insight into the work of a cantonal statistics office and its interfaces with the federal government, administration, and data providers
• Participation in a defined subproject from idea to implementation

• Ongoing or completed studies (Master's) with a quantitative focus
• Good knowledge of R, especially in writing functions and functional programming
• Experience with Git; basic knowledge of pipeline and scheduling tools (e.g. targets, GitHub Actions, cron) desired
• Initial experience with AI-assisted coding tools (e.g. GitHub Copilot, Claude Code) an advantage
• Careful, structured working style and sensitivity to data quality and data protection

• High degree of independence and personal responsibility
• Collaboration in an open and competent team
• Flexible working time models, flexible working hours, and possibility of home office
• Exciting insight into the Office for Data and Statistics
• Modern IT infrastructure (Posit Team, Postgres-DWH, Gitea, etc.)

Kim Inauen, HR Business Partner (Tel. 058 229 35 29) and
Dr Jan Wunder, Head of the Office for Data and Statistics (Tel. 058 229 87 35) as well as at www.statistik.sg.ch