Data Scientist (pipeline)

Capita

Cape Town, South Africa
On-site
Advanced analytics and statistical tools
Predictive modeling
Customer satisfaction and loyalty methodologies
Capita is seeking a Data Scientist to join their Cape Town team, focusing on applying data analytics to enhance customer experiences and operational efficiency. The ideal candidate should possess a strong background in data science, particularly in the context of contact centers, and be skilled in various analytical tools and methodologies

Job Summary

  • Provide high level strategic and tactical insight to identify, prioritise, and drive improvement initiatives, delivering innovative solutions for the business.
  • Conduct insight reviews through the application of advanced analytics, using internal and external data sources and sophisticated predictive modelling.
  • Keep up-to-date with current industry thinking, making recommendations on emerging technologies and new approaches to capturing and measuring the voice of the customer and improving customer experience.

Matching Summary

Match Score: 85

Capita is seeking a Data Scientist to join their Cape Town team, focusing on applying data analytics to enhance customer experiences and operational efficiency. The ideal candidate should possess a strong background in data science, particularly in the context of contact centers, and be skilled in various analytical tools and methodologies.

Skills & Requirements

Must-have

  • Advanced analytics and statistical tools
  • Predictive modeling
  • Customer satisfaction and loyalty methodologies
  • Data manipulation beyond Excel
  • Speech and text analytic applications

Nice-to-have

  • Client-specific needs adaptation
  • Emerging technologies and new approaches
  • Evidence-based decision-making
  • Willingness to work independently

Key Requirements

  • 2 years’ experience applying data science
  • Strong understanding of Statistical Analytics
  • Knowledge and application of MI/BI & Contact Centre relevant software
  • Knowledge of programming tools such as Python, SQL, R
  • Excellent Excel knowledge, including VBA
  • Data manipulation experience beyond Excel
  • Experience of using statistical software

Work Rights

Not specified

Tailored Resume

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