Description
The Data Science Intern will join the Sèvres Lab to develop an analysis system for detecting weak or emerging warning signals in heterogeneous structured and unstructured data. The role involves anomaly detection, clustering, predictive modeling, NLP, alerting, and risk management, with a focus on public health, pharmacovigilance, or health security. Candidates must be in the final year of an engineering school or master’s program, specialized in data science or a related field, and proficient in Python and relevant data-analysis tools. The internship lasts six months, is based in Sèvres, and offers €690 gross per month for Bac+4 students or €1,300 gross per month for Bac+5 students, plus meal vouchers and public transport pass coverage.
