Data Scientist Intern F/H - Quality Observatory for...

With Trust the Future, Orange is making customer proximity a major ambition. The quality of home Wi-Fi is one of the essential levers for this ambition, but it depends heavily on the coverage of the home, the number of devices present, and their configuration. In some households, a single router must cover the entire home; in others, repeaters are installed without a precise understanding of their positioning or their actual contribution to network quality. The objective of this internship is to design and populate a home Wi-Fi service quality observatory using data generated by Liveboxes, Wi-Fi repeaters, and connected devices, while respecting privacy and GDPR requirements. This observatory should allow for better characterization of situations encountered in homes, improved monitoring, and support for decision-making, leading to concrete recommendations for customers. The internship will be structured around three stages, elaborated and prioritized with the intern: Define operational needs, in collaboration with Wi-Fi experts, data scientists, and Orange product teams: situations to observe, relevant indicators, expected diagnostic levels, and solutions that can be offered to customers; Transform available data into useful indicators, based on the needs identified in the first phase. This will involve characterizing the Wi-Fi ecosystem of households, monitoring service quality, and identifying configurations or situations that may require action; Exploit these indicators to improve diagnosis and decision-making, by building a typology of encountered situations and associating actionable recommendations with each: repositioning a device, adding a repeater, or correcting a configuration. The intern will analyze the data already available and characterized within the Orange environment, develop statistical methods and machine learning models if necessary, and then evaluate the relevance of the indicators and recommendations produced. This evaluation will be conducted first offline, and then, when possible, as part of a field test with a cohort of volunteer households to measure its real impact. In close collaboration with Wi-Fi specialist engineers, data scientists, and product teams, the intern will thus contribute to producing a foundation of indicators, diagnostics, and recommendations likely to support future industrializations and improve the Wi-Fi experience of Orange customers. You are pursuing an engineering degree or a Master 2 degree in applied mathematics, Data Science, or computer science. You have solid knowledge of Python and are comfortable with its ecosystem of libraries for data processing and analysis (NumPy, SciPy, Pandas) and for machine learning (Scikit-Learn). Curiosity for systems and networks (TCP/IP, Wi-Fi) is a highly appreciated plus – no prior radio knowledge is required. Initial experience with a cloud environment (GCP, AWS, Azure) and an interest in ethical and data privacy issues will be valued. We will expect scientific rigor, curiosity for data, and aptitude for experimental research. This subject will place you at the intersection of data science and wireless network technologies, on a problem that everyone experiences at home. You will work with operator data unique in its scale and granularity – the network seen from the inside – framed by recognized expertise. The internship aims for measurable impact, at the heart of Orange's "Trust The Future" strategic plan: a diagnosis validated in the field, solutions likely to be industrialized to improve the perceived quality by millions of customers. You will interact regularly with our radio engineers, our data scientists, and product teams, and your contributions may lead to valorization activities (publications, PhD follow-ups). You will join the Orange Innovation Networks teams, a strategic hub at the heart of research and development at Orange. This is where we imagine and build the networks of tomorrow, exploring cutting-edge technologies to transform how data is used. More specifically, you will join a team of data scientists specialized in processing and leveraging operator data. Orange's fixed network connects and equips millions of households: Liveboxes, Wi-Fi repeaters, connected objects, which generate rich and continuous signaling every day. Our teams leverage its potential to better understand and improve customer experience quality, within a rigorous framework of privacy protection, with recognized expertise in data science, anonymization, and GDPR compliance. You will be fully immersed within a dynamic team of passionate data scientists and engineers, with close technical and business support. You will join the Orange Innovation Networks teams, a strategic hub at the core of research and development at Orange. This is where we imagine and build the networks of tomorrow, exploring cutting-edge technologies to transform how data is used. More specifically, you will join a team of data scientists specialized in processing and leveraging operator data. Orange's fixed network connects and equips millions of households: Liveboxes, Wi-Fi repeaters, connected objects, which generate rich and continuous signaling every day. Our teams leverage its potential to better understand and improve customer experience quality, within a rigorous framework of privacy protection, with recognized expertise in data science, anonymization, and GDPR compliance. You will be fully immersed within a dynamic team of passionate data scientists and engineers, with close technical and business support. Skills Microsoft Access SAP SAP ERP SQL