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Data Science Consultant

Skills
Azure SQLArtificial IntelligenceConsultingData AnalyticsLogistics ManagementPythonTableau
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Proven experience in a data science analytics or advanced analytics role
  • Demonstrable consulting experience with stakeholder management and senior presentations
  • Logistics or supply chain experience is essential
  • Strong proficiency in Python and or R
  • Solid SQL skills for data extraction and manipulation
  • Experience with data visualisation tools such as Power BI Tableau or Qlik
  • Good understanding of statistical methods and or machine learning techniques relevant to operations and logistics
  • Ability to quickly understand complex operational processes and constraints
  • Strong problem structuring skills
  • Excellent communication skills in simple business focused terms
  • Comfortable facilitating workshops leading discussions and challenging assumptions constructively
  • Strong commercial mindset with ability to quantify and articulate business value

Day to day

  • Work closely with operations logistics and management stakeholders to understand processes pain points and strategic objectives
  • Translate business questions into clear analytical use cases and project plans then present recommendations to technical and non technical audiences
  • Analyse logistics and supply chain data to identify inefficiencies quantify value and build analytics machine learning and reporting solutions
  • Support pilots proof of concepts and change adoption by documenting methods assumptions and solution designs