As a Lead Data Scientist at Impact Tech, you'll focus on fraud and risk modeling to drive business results. This role is perfect for someone with a strong background in data science and a passion for tackling complex challenges.
Impact Tech is looking for a Lead Data Scientist specializing in fraud and risk modeling to join their team in Cape Town. In this role, you will leverage your expertise to develop models that detect and prevent fraudulent activities, ensuring the integrity of business operations. You will work closely with cross-functional teams to translate complex data into actionable insights that drive strategic decisions.
Your day-to-day responsibilities will include researching and implementing advanced statistical techniques and machine learning algorithms to enhance fraud detection capabilities. You will also be responsible for mentoring junior data scientists, guiding them in best practices and innovative approaches to data analysis. Collaboration with stakeholders will be key, as you will need to communicate findings and recommendations effectively.
This role is ideal for someone with at least five years of experience in data science, particularly in fraud detection or risk assessment. A strong foundation in programming languages like Python or R, along with a solid understanding of statistical analysis and data modeling, is essential. Familiarity with big data technologies and data visualization tools will be advantageous but not mandatory.
If you thrive in a fast-paced environment and enjoy solving complex problems, this position could be a great fit for you. Join Impact Tech and contribute to meaningful projects that have a real impact on business outcomes.
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