Data Scientist L2

Data Scientist (L2)

Location: Johannesburg (preferable)/ Cape Town/ Kwazulu-Natal | Type: Full-time

Build Real Solutions. Own Your Work. Grow Fast.

At Isazi, we build intelligent systems that drive real business outcomes.

We’re a team of engineers, data scientists, and problem-solvers working at the intersection of data and AI - solving complex, real-world challenges for our clients. Our work is practical, high-impact, and always focused on delivering value.

We’re looking for an Intermediate Data Scientist who is ready to take ownership, solve problems independently, and contribute meaningfully to project delivery.

What You’ll Do

As an Intermediate Data Scientist, you’ll operate as an independent contributor, working across multiple problems within a project and delivering high-quality outputs with minimal supervision.

You’ll:

• Own and deliver multiple data science work-streams within projects

• Perform exploratory data analysis (EDA) to uncover insights and guide modelling

• Design, build, and evaluate machine learning models

• Perform feature engineering and data preprocessing at scale

• Translate business problems into structured analytical solutions

• Write clean, scalable, and well-documented code

• Validate and interpret model results, communicating findings clearly

• Collaborate with engineers, product teams, and stakeholders

• Contribute to solution design discussions

• Support and guide junior team members where needed

What We’re Looking For

We’re looking for someone who can own their work and deliver consistently.

You should have:

• 1–3 years of experience in data science, machine learning, or a related field

• Strong programming skills in Python

• Solid understanding of machine learning and data science fundamentals

• Experience with tools such as Pandas, NumPy, Scikit-learn

• Exposure to PyTorch or TensorFlow (advantageous)

• Ability to work independently across multiple tasks

• A STEM degree (BSc minimum; strong academic performance preferred)

• Applicants must be legally authorized to work in South Africa.

You’ll Thrive Here If You:

• Take ownership of your work and follow through

• Enjoy solving multiple problems at once and managing your own workload

• Can break down business problems into structured technical solutions

• Communicate clearly and confidently

• Are eager to learn, improve, and take on more responsibility

What You’ll Gain

• Ownership of real project work and deliverables

• Exposure to complex, real-world data challenges

• Opportunities to contribute to solution design

• Mentorship and support to grow into a senior role

• A clear progression path toward leadership

How We Work

At Isazi, we:

• Work in cross-functional teams to solve complex problems

• Encourage ownership, autonomy, and accountability

• Value clear thinking and strong communication

• Focus on delivering outcomes, not just outputs

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: Complimentary breakfast and lunch available daily from our in-house chef, Chico (Johannesburg offices only)

Our Talent Acquisition Process

• Initial screening (either with a member of the Talent team or via video interview)

• Values & Ways of Working Interview

This stage assesses alignment to Isazi’s values and ways of working, including collaboration, ownership, and problem-solving approach.

• 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 take ownership, solve real problems, and grow into a senior data scientist, we’d love to hear from you.