Data Scientist

Description:

PBT Group has an opportunity for a Data Scientist to build and implement (ML) models to improve business processes resulting in efficiencies and cost savings. Develop data driven insights to help identify trends and opportunities and provide solutions based on these insights. Provide in depth analysis of data using data mining and profiling techniques to understand current business challenges and predict future needs. Effective communication of results to stakeholders.

Duties:

• Develop information driven insights to identify trends and opportunities and provide solutions based on these insights.
  • Manage data analysis and interpretation including modelling and simulation.
  • Drive the advanced analytics capability within the team and company.
  • Devise and promote creative data visualization to derive actionable intelligence.
  • Forecast the performance of data relative to business needs.
  • Develop recommendations based on data interpretation and analysis to transform behaviours.
  • Develop automated tools and dashboards with IT team to provide real-time insights to business data.
  • Design data integration from multiple systems into manageable data warehouses and analytic data models.
  • Utilize strong research or technical skills to conduct business or industry-wide analysis of current and emerging best practices that support analytics engagement.
  • Proactively improve analytic approaches, methodologies, data and reporting capabilities.
  • Translate data analytics findings into actionable business insights.
  • Critically evaluate information gathered from multiple sources and reconcile conflicts.
  • Develop and deliver compelling presentation using data and graphics to communicate insights and implications for decision making.
  • Provide subject matter expertise for all data related processes and analysis.
  • Actively participate and influence continuous improvement to the organisations data warehousing and Business intelligence solutions with a motive for eliminating redundant and manual data extraction and processing.
  • Extract meaning from complex data relationship and develop reports to enable effective use of the resulting knowledge.
    • Develop information driven insights to identify trends and opportunities and provide solutions based on these insights.
      • Manage data analysis and interpretation including modelling and simulation.
      • Drive the advanced analytics capability within the team and company.
      • Devise and promote creative data visualization to derive actionable intelligence.
      • Forecast the performance of data relative to business needs.
      • Develop recommendations based on data interpretation and analysis to transform behaviours.
      • Develop automated tools and dashboards with IT team to provide real-time insights to business data.
      • Design data integration fro