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Open nowPosted 158 days ago

Junior Data Scientist

isazi-consulting6 open roles

Where
Johannesburg, South Africa
Work mode
Hybrid
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Your applicationOpen nowJunior Data Scientistisazi-consulting · Johannesburg, South Africa

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 158 days ago

The posting

Junior Data Scientist

Build Intelligent Systems. Solve Real Problems. Start Your Career at Isazi.

At Isazi, we don’t just build models - we build intelligent systems that solve real-world problems.

We’re a team of engineers, data scientists, and problem-solvers working at the cutting edge of data and AI. Our work spans industries, challenges, and technologies, but always with one goal: delivering meaningful impact.

We’re looking for a Junior Data Scientist to join our team. If you’re curious, technically strong, and excited to learn by doing, this is your opportunity to kick-start your career in a high-performance environment.

What You’ll Do

As a Junior Data Scientist, you’ll work on real projects from day one, contributing to the design, development, and delivery of data-driven solutions.

You’ll:

  • Work on well-defined data and machine learning problems within project teams
  • Build and support data pipelines, models, and analytical workflows
  • Explore and analyse datasets to uncover patterns and insights
  • Assist in developing and evaluating machine learning models
  • Write clean, efficient, and well-documented code
  • Collaborate with data scientists, engineers, and product teams
  • Participate in code reviews and technical discussions
  • Continuously learn and apply new tools, techniques, and approaches

What We’re Looking For

We’re less focused on years of experience and more interested in how you think and solve problems.

You should have:

  • A strong foundation in Python and programming fundamentals
  • Solid understanding of mathematics, statistics, and data structures
  • Exposure to data science or machine learning concepts
  • Applicants must be legally authorized to work in South Africa.
  • Experience with tools like Pandas, NumPy, Scikit-learn (or similar)
  • A STEM degree (BSc minimum; strong academic performance preferred)

You’ll Thrive Here If You:

  • Love solving problems and figuring things out
  • Are curious and enjoy learning new things quickly
  • Take ownership of your work, even when it’s challenging
  • Are comfortable asking questions and learning from feedback
  • Enjoy working in a collaborative, team-based environment

What You’ll Gain

  • Hands-on experience working on real-world data and AI projects
  • Mentorship from experienced engineers and data scientists
  • Exposure to production systems - not just academic exercises
  • Rapid technical and professional growth
  • A clear path to becoming an independent data scientist or engineer

How We Work

At Isazi, we:

  • Work in cross-functional teams to solve complex problems
  • Value experimentation, ownership, and curiosity
  • Encourage open communication and knowledge sharing
  • Focus on impact, not just output

You’ll be part of a team that’s building, learning, and pushing boundaries every day.

Why Isazi?

  • Work on meaningful, high-impact problems
  • Be part of a collaborative, high-performing team
  • Learn faster than you thought possible
  • Build a strong foundation for your career in data and AI
  • Career growth: Access to personal development budgets for training and resources to further develop your skills.
  • Competitive compensation: Including bonuses designed to reward high performance
  • Collaborative culture: Monthly team and company-wide socials to stay connected and have fun.
  • In-house chef: Complementary breakfast and lunch available daily from our in-house chef, Chico (Johannesburg offices only)

Our Talent Acquisition process:

  1. Initial screening (either with a member of the Talent team or via video interview)
  2. Values Alignment Interview - This stage assesses alignment to Isazi’s values and ways of working, including collaboration, ownership, and problem-solving approach.
  3. Problem-solving interview - This interview focuses on how you approach and solve technical problems, rather than testing memorisation or specific tools.

If you’re ready to learn, build, and make an impact—we’d love to hear from you.

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