The Chrysalis Programme

Data Scientists
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📅 Date Posted

Feb 21, 2025

💼 Job Type

CONTRACTOR

📍 Location

West Kilbride

💵 Rate

£700.00 - £760.00

Description

Contract:
Start Date: ASAP
Location: Remote UK (Ideally 1 day a week in Cheshire)
Duration: 4 months
Day Rate: £700 - £760 a day inside or IR35
Reference: 18568

Key Responsibilities:
- Data Aggregation and Analysis: Design and implement solutions to collect, aggregate, and analyze data from network infrastructure platforms, including IPAM, ServiceNow, Skybox, and custom-built systems. Identify insights to drive automation and decision-making.
- Data Modeling & Validation: Create and maintain data models that help in inventory validation, automation use cases, and data rationalization workflows. Work with teams to validate data quality and ensure accurate information flows across systems.
- Support Automation Use Cases: Analyze and develop data-driven insights that contribute to prioritized automation use cases, including Zero Touch Provisioning, automated device onboarding, and minimizing unsupported software versions in customer environments.
- Collaborate with Cross-Functional Teams: Work with developers and network engineers to document data rationalization workflows, support solution design, and define technical requirements for automation. Leverage insights to optimize network operations.
- Data Enrichment and Integration: Use automation tools like Ansible to ingest data from various network sources of truth into central repositories, enriching the data for validation and further processing.
- Visualizations and Reporting: Design and create data visualizations dashboards to track key performance indicators (KPIs)network health metrics ensuring stakeholders have clear insights into status ofautomation processes compliance efforts.- Problem Solving Troubleshooting Apply datascience analytical techniques identify patterns detect anomalies solve complex problemsinnetworkautomation security inventory management.

Required Qualifications:
Experience:-5+years experience indatascience focusonanalysis modelingandautomationinnetworkorITenvironments.DataPlatforms:-Experiencewithnetwork-relatedplatformssuchasIPAMServiceNowSkyboxInfobloxFortinettechnologies(e.g.,FortiManager).FamiliaritywithNetBoxNautobotorothernetworkmanagementtoolsisaplus.DataScienceTools:-Proficiencyindataanalysisandmachinelearningtools/languagessuchasPythonRSQLanddatavisualizationplatforms(e.g.PowerBITableau).AutomationExperience:-UnderstandingofautomtionpracticesandtoolslikeAnsiblefordataingestionintegrationworkflowautmation.Statistical&AnalyticalSkills:-Strongstatisticalanalyticalskillstointerpretcomplexdatasetsmodeldata deriveactionableinsightsforautmationnetwrkoptimiztion.AgileDevOps:-ExperinceworkinginagileenvironmentsparticipatinginsprintcyclesbacklogmanagementCICDpipelines.DataModeling&Validation-Abilitytodevelopvalidate maintaindatamodelsthatsupportautmation systemintegrityensuringthatdataisactionable usefulacrossplatforms.Problem-Solving-Strongcriticalthinking problem-solvingskillswiththeabilitytoanalyzedataidentifytrendstroubleshootcomplexnetwrkissuesCommunicationSkillsExcellentverbalwrittencommunicationskillstopresentdatafindings collaboratewithstakeholders.NetworkingPeople(UK)isactingasanEmploymentBusinessinrelationtothisvacancy

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