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Data Scientist

Ref: JO-2509-356604

  • Environment: Hybrid
  • Contract Type: Permanent
  • Starts: 2025-11-01
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Job Title: Data Scientist

Are you someone who combines:

✔ Strong programming skills

✔ Solid business intuition

✔ A self-driven, analytical mindset

If yes, this role might be for you. Your mission: transform large, complex datasets into actionable insights and smarter business decisions. You’ll join a collaborative team that leverages cloud-based data platforms, advanced visualization, and machine learning to drive real impact across the organization.

What you’ll be doing

  • Apply machine learning, optimization, and AI techniques to deliver measurable improvements to the business.
  • Test hypotheses, run analyses, and provide recommendations that guide decision-making.
  • Communicate insights clearly to stakeholders at different levels.
  • Champion a culture of data-driven decision-making.
  • Build strong relationships across the business to understand context and challenges.
  • What we’re looking for

    Education:

  • A degree in a quantitative field (e.g. Statistics, Mathematics, Computer Science, Physics, or Engineering).
  • Experience:

  • 0-5 years in data science, software development, or a quantitative analysis role.
  • Exposure to (or eagerness to learn) tools and techniques such as:
  • Programming: Python or R (Pandas, NumPy, Scikit-learn, tidyverse, etc.)
  • Data handling: SQL, relational databases, and data modeling
  • Exploratory data analysis and statistical methods
  • Machine learning techniques: regression, clustering, neural networks, decision trees, time series, deep learning
  • Optimization methods: linear programming, genetic algorithms, simulated annealing
  • Big data platforms: Spark
  • Visualization tools: Excel, Tableau, Power BI
  • Software practices: version control (Git), reproducibility, deployment
  • Generative AI: LLMs and advanced AI approaches for innovative solutions
  • How we work

  • The Data Science team partners closely with BI, data engineering, automation, and other tech functions.
  • Hybrid work model (typically remote on Mondays and Fridays).
  • Majority project-based work (80%+) with some solution support (~20%).
  • Expect ownership of a key part of projects, regular updates to leadership, and plenty of collaboration.
  • Innovation is encouraged team hackathons and internal challenges are part of the culture.
  • Salt is acting as an Employment Agency in relation to this vacancy.

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    Data Scientist

    • South Africa, Durban
    • Data, AI and Machine Learning, Technology
    • ZAR 540,000.00 - ZAR 600,000.00 per annum
    • Hybrid
    • Permanent

    "*" indicates required fields

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