Strategic Data Scientist & ML Engineer

Pepkor Lifestyle

Sandton

On-site

ZAR 900,000 - 1,300,000

Full time

9 days ago
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Job summary

Pepkor Lifestyle is seeking a Data Scientist to analyse complex datasets and build interpretable models that inform business decisions. You will own the lifecycle of the solution from stakeholder conversations to long-term production health, with a pragmatic approach to AI and MLOps.

Collaborate with analysts and engineers, design robust pipelines in Python, SAS and SQL, and translate insights into clear actions for stakeholders across functions.

Qualifications

  • Honours/Masters/PhD in Data Science, Statistics, Computer Science, Mathematics or related quantitative field.
  • Strong portfolio of data science work with production models.
  • Fluent in Python, SAS and SQL with solid data engineering foundations.
  • Experience deploying ML models and maintaining model health (MLOps).
  • Excellent communication and ability to influence stakeholders.

Responsibilities

  • Own end-to-end data science lifecycle from problem framing to deployment.
  • Develop and productionize statistical and ML models (classification/regression/clustering).
  • Build robust data pipelines and automate data wrangling across systems.
  • Translate complex findings into actionable business decisions for non-technical partners.
  • Collaborate with data analysts, data engineers and stakeholders to scale impact.

Skills

Python
SQL
Machine Learning
Statistics
Data Visualization
Communication

Education

Honours/Masters/PhD in Data Science/Statistics/CS/Math

Tools

SAS
Git
GitHub
AWS
SAS Viya
scikit-learn
TensorFlow
PyTorch

Job description

Pepkor Lifestyle is seeking a Data Scientist to analyse complex datasets and build interpretable models that inform business decisions. You will own the lifecycle of the solution from stakeholder conversations to long-term production health, with a pragmatic approach to AI and MLOps.

Collaborate with analysts and engineers, design robust pipelines in Python, SAS and SQL, and translate insights into clear actions for stakeholders across functions.

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