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Leonardo

Aerospace, defense tech design and manufacturing

Intelligent Network Monitoring and Predictive Analytics Intern - Fucino Teleport Networking

Applied Machine LearningConfirmed live in the last 24 hours
Internship · Spring 2027Ortucchio, Italy€4.62 /hr

About the Job

Requirements

  • Currently pursuing a master's degree in Telecommunications Engineering, Computer Science, Electronics, Data Science, or an equivalent discipline.
  • Have good written and spoken English proficiency at B2 level.
  • Have good knowledge of Python.
  • Know the main data analysis tools, including Pandas, NumPy, and Scikit-learn.
  • Know the fundamentals of machine learning and data analytics.
  • Know IP networks and primary monitoring protocols such as SNMP, ICMP, and NetFlow or equivalents.
  • Have basic knowledge of relational databases and time-series databases.
  • Have good knowledge of Linux and Windows operating systems.
  • Be familiar with data visualization and reporting tools.
  • Have an interest in automation, predictive analysis, and network observability technologies.

Responsibilities

  • Analyze and monitor complex, distributed network infrastructure.
  • Apply data analytics to operational metrics from monitoring systems.
  • Use machine learning techniques to automatically detect anomalies.
  • Develop predictive models to identify faults, service degradation, and anomalies in advance.
  • Produce technical reports, dashboards, and presentations of results.
  • Design and develop an intelligent alerting and predictive analytics system for network infrastructure using machine learning algorithms and historical monitoring data.
  • Analyze data from network equipment, including routers, switches, firewalls, and transport systems, and identify behavioral patterns.
  • Develop models to detect deviations from expected network behavior, identify operating conditions that may precede faults or performance degradation, reduce false alerts from static-threshold systems, and generate dynamic, contextualized alerts to support operational activities.
  • Analyze and make use of data from monitoring and observability platforms based on InfluxDB, Telegraf, Grafana, and dedicated alerting systems.

Desired Qualifications

  • Experience with Grafana, InfluxDB, or Telegraf.
  • Knowledge of anomaly detection and time-series forecasting.
  • Experience with monitoring and alerting tools.
  • Knowledge of cloud or containerized environments.
  • Familiarity with DevOps methodologies and automation.

About the Company

Leonardo

Aerospace, defense tech design and manufacturing

Leonardo operates in aerospace, defense, and security, designing and manufacturing advanced technologies for militaries, intelligence agencies, and defense contractors. Its products combine hardware, software, and services and are delivered through subsidiaries in the US (DRS, Electronics US, Critical Infrastructure, Aircraft and Aerostructures US). It differentiates itself with a broad, diversified portfolio and end-to-end support from development to sustainment, plus training and customer service. Its goal is to provide reliable, state-of-the-art capabilities to defense, intelligence, and civil infrastructure customers while maintaining strong support and training.

Company size
10,001+
Company stage
IPO
Headquarters
Rome, Italy
Founded
2022

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