- Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
- Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets
- Build reusable QA tools in Python or R that can be automated and scaled across internal pipelines
- Work with other research teams, our development team, and other stakeholders so that they can make best use out of the asset location data
- Contribute to model documentation, reproducibility, and version control of data science assets.
ultime offerte
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Micropole, Consultant Cloud & Data
Sede: Levallois-Perret, Francia -
SAP, Product Development Internship
Sede: Copenhagen, Danimarca -
Alter Domus, Funds Services Intern PE/Debt
Sede: Luxembourg , Lussemburgo -
European Cybersecurity Organisation, Trainee Policy Analysis and Outreach Stream
Sede: Brussels, Belgio -
EcoVadis, HR People Operations Discovery Program Intern
Sede: Warsaw, Polonia -
Roland Berger, Stagiaire Consultant(e) - 2026
Sede: Paris , Francia -
PM Group, Electrical Engineer Internship Cork 2026
Sede: Cork, Irlanda -
MSCI, Data Science Intern
Sede: Budapest, Ungheria -
Comexposium, Stagiaire Assistant Réseaux Sociaux - Montage Vidéo
Sede: Paris, Francia -
Celonis, Intern Business Development (Italian-Speaking)
Sede: Madrid, Spagna