The Information and Statistics System (UNISIS) of the University of Lausanne is looking for a 100% Intern within its Development and AI Unit (PDIA).
This 6-month internship offers a comprehensive and practical experience of the data scientist / data engineer profession in an institutional context, working closely with the University’s real data. You will work in a modern and stimulating technical environment — R, Python, SQL, Docker, Kubernetes/Argo, GCP/Datalake, GitHub — and will use generative AI and code assistance tools daily, notably Claude Code, to accelerate your developments.
Data Engineering & AI Intern (100%)
YOUR TASKS
- Data quality control and improvement (R) - Develop automated quality controls (completeness, consistency, duplicates, outliers), design monitoring dashboards, analyse anomalies and propose sustainable corrections. - Contribution to data integration flows and DataOps - Participate in the development and maintenance of ETL/ELT flows (R, Python) feeding the PostgreSQL warehouse and the datalake (GCP), containerise processes (Docker) and contribute to their orchestration (Argo Workflows / ArgoCD). - Prototyping AI use cases - Identify and explore Machine Learning use cases, prepare data, train and evaluate models, and use code assistants to speed up prototyping. - Best development practices and collaboration - Daily use of Git/GitHub (branches, Pull Requests, code review), documentation and participation in the team’s technical watch.
YOUR PROFILE
- Bachelor’s or Master’s degree from a Higher Education institution in data science, computer science, statistics, applied mathematics or a related quantitative discipline. - Programming in R and/or Python. - Curiosity and ease with generative AI tools and code assistants. - Basic knowledge of SQL, containerisation (Docker) and version control (Git/GitHub) — an asset. - Some knowledge of Shiny is an asset. - Autonomy, rigour, analytical and synthetic thinking, team spirit. - Excellent command of French; good level of technical English. - Strict respect for confidentiality and data protection rules (LPD / GDPR). - Valid work permit in Switzerland (or CH/EU nationality).
Previous experience is not required: the internship is training-oriented.
CONDITIONS
- Activity rate: 100% - Duration: 6 months - Start date: 1st September 2026 - Workplace: on-site (Unicentre), with the possibility of one day of teleworking per week - Salary: CHF 1,820 gross per month - Regular and quality supervision, within a dynamic team with an excellent collaborative spirit
APPLICATION
Please send us your complete application in French (CV and cover letter) before 31 July 2026.
jidf406d84aen jit0728aen jpiy26aen
This 6-month internship offers a comprehensive and practical experience of the data scientist / data engineer profession in an institutional context, working closely with the University’s real data. You will work in a modern and stimulating technical environment — R, Python, SQL, Docker, Kubernetes/Argo, GCP/Datalake, GitHub — and will use generative AI and code assistance tools daily, notably Claude Code, to accelerate your developments.
Data Engineering & AI Intern (100%)
YOUR TASKS
- Data quality control and improvement (R) - Develop automated quality controls (completeness, consistency, duplicates, outliers), design monitoring dashboards, analyse anomalies and propose sustainable corrections. - Contribution to data integration flows and DataOps - Participate in the development and maintenance of ETL/ELT flows (R, Python) feeding the PostgreSQL warehouse and the datalake (GCP), containerise processes (Docker) and contribute to their orchestration (Argo Workflows / ArgoCD). - Prototyping AI use cases - Identify and explore Machine Learning use cases, prepare data, train and evaluate models, and use code assistants to speed up prototyping. - Best development practices and collaboration - Daily use of Git/GitHub (branches, Pull Requests, code review), documentation and participation in the team’s technical watch.
YOUR PROFILE
- Bachelor’s or Master’s degree from a Higher Education institution in data science, computer science, statistics, applied mathematics or a related quantitative discipline. - Programming in R and/or Python. - Curiosity and ease with generative AI tools and code assistants. - Basic knowledge of SQL, containerisation (Docker) and version control (Git/GitHub) — an asset. - Some knowledge of Shiny is an asset. - Autonomy, rigour, analytical and synthetic thinking, team spirit. - Excellent command of French; good level of technical English. - Strict respect for confidentiality and data protection rules (LPD / GDPR). - Valid work permit in Switzerland (or CH/EU nationality).
Previous experience is not required: the internship is training-oriented.
CONDITIONS
- Activity rate: 100% - Duration: 6 months - Start date: 1st September 2026 - Workplace: on-site (Unicentre), with the possibility of one day of teleworking per week - Salary: CHF 1,820 gross per month - Regular and quality supervision, within a dynamic team with an excellent collaborative spirit
APPLICATION
Please send us your complete application in French (CV and cover letter) before 31 July 2026.
jidf406d84aen jit0728aen jpiy26aen
Kontaktdaten:
Université de Lausanne - Système d'information et statistiques (UNISIS) Recruiting-Team
