Data Scientists

Data Scientists

Posted 1 day ago by NP Group on JobServe

£760 Per day
Inside
Hybrid
Cheshire, UK

Summary: The role of Data Scientist involves leveraging data to enhance automation and optimize network infrastructure. The candidate will be responsible for data aggregation, modeling, and analysis, while collaborating with cross-functional teams to support automation use cases and improve cybersecurity. This position requires a strong background in network automation and data analysis, with a focus on integrating various network platforms. The role is remote with an expectation of one day a week in Cheshire.

Key Responsibilities:

  • Design and implement solutions for data aggregation and analysis from network infrastructure platforms.
  • Create and maintain data models for inventory validation and automation workflows.
  • Analyze and develop insights for prioritized automation use cases.
  • Collaborate with developers and network engineers to document workflows and define technical requirements.
  • Use automation tools to ingest and enrich data from network sources.
  • Design data visualizations and dashboards for tracking KPIs and network health metrics.
  • Apply analytical techniques to identify patterns and solve complex problems in network automation.

Key Skills:

  • 5+ years of experience in data science with a focus on data analysis and automation in network or IT environments.
  • Experience with network-related platforms such as IPAM, ServiceNow, and Infoblox.
  • Proficiency in Python, R, SQL, and data visualization tools like Power BI or Tableau.
  • Understanding of automation tools like Ansible.
  • Strong statistical and analytical skills.
  • Experience in agile environments and CI/CD pipelines.
  • Ability to develop and validate data models.
  • Strong problem-solving and critical thinking skills.
  • Excellent communication skills for presenting data findings.

Salary (Rate): 760

City: Cheshire

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT