Causal AI Analyst

Anicalls · Johannesburg

Posted 4 August 2026

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Introduction

Anicalls is hiring a Causal AI Analyst to design and implement causal inference models and experimentation frameworks that identify key drivers of business outcomes. The ideal candidate should have hands-on experience with causal inference , A/B testing , statistics , Python or R , and econometrics to support data-driven decision-making.

Duties & Responsibilities

  • Design and implement causal inference and experimentation models.
  • Conduct A/B testing and analyze business impact.
  • Apply statistical and econometric techniques to solve business problems.
  • Develop analytical solutions using Python or R .
  • Interpret and communicate insights to business stakeholders.
  • Collaborate with data, engineering, and business teams to deliver scalable analytics solutions.
  • Ensure model accuracy, validation, and performance optimization.

Desired Experience & Qualification

  • Up to 5 years of overall IT experience.
  • Minimum 1–2 years of hands-on experience in Causal AI , Data Science, or Advanced Analytics.
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Information Technology, Artificial Intelligence , or a related field.
  • Certifications in Data Science, Machine Learning, Statistics, Python, R, AWS, Azure, or Google Cloud are an added advantage.
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Causal AI Analyst at Anicalls — Johannesburg · JobAlertsZA