Senior Data Scientist L3

Senior Data Scientist (L3) Location: Johannesburg/ Cape Town (remote may be considered) | Type: Full-time Solve Complex Problems. Influence Outcomes. Step Into Leadership. 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, high-impact challenges for our clients. Our work is practical, fast-paced, and focused on delivering meaningful value. We’re looking for a Senior Data Scientist who can tackle complex problems, contribute to solution design, and elevate the performance of those around them. What You’ll Do As a Senior Data Scientist, you’ll operate as an advanced contributor and emerging leader , owning complex work-streams and influencing how solutions are designed and delivered. You’ll: Solve complex and ambiguous data science problems end-to-end Lead the design of analytical and machine learning solutions Translate loosely defined business challenges into structured approaches Own delivery of key work-streams within projects Contribute to architecture and solution design decisions Mentor and support junior data scientists (L1–L2) Review code and provide technical guidance Collaborate closely with engineers, product teams, and stakeholders Communicate insights and recommendations clearly to clients Identify opportunities to improve models, processes, and delivery What We’re Looking For We’re looking for someone who can handle complexity, think critically, and elevate team performance . You should have: 3–5+ years of experience in data science, machine learning, or a related field Strong programming skills in Python Deep understanding of machine learning, statistics, and data science fundamentals Experience with tools such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow Proven ability to solve complex or ambiguous problems Experience contributing to solution design or technical direction Ability to mentor or support more junior team members A STEM degree (BSc minimum; MSc or PhD advantageous) You’ll Thrive Here If You: Enjoy tackling complex, ambiguous problems Think in structured, logical ways and can break problems down clearly Take ownership beyond your individual work Naturally support and guide others Communicate clearly with both technical and non-technical audiences Want to step into leadership while still being hands-on What You’ll Gain Ownership of complex, high-impact work-streams Opportunities to influence solution design and delivery Exposure to client-facing problem-solving and decision-making Development into a leadership role (L4 pathway) A strong platform to grow into a delivery or technical lead 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 solve complex problems, influence outcomes, and grow into a leadership role, we’d love to hear from you.