As a Lead Data Scientist at Impact Tech, you'll focus on fraud modelling and risk assessment. This role is perfect for someone with a strong analytical background and a passion for tackling complex challenges in a fast-paced environment.
Dynamic and results-driven, with a focus on innovation and collaboration.
Impact Tech is looking for a Lead Data Scientist to join their team in Cape Town, focusing on fraud modelling and risk assessment. In this role, you'll leverage your expertise to develop models that help identify and mitigate fraud risks, ensuring the company's business results are protected. You'll work closely with cross-functional teams to translate complex data into actionable insights that drive decision-making.
Your day-to-day responsibilities will include researching and developing advanced statistical models, analyzing large datasets, and presenting your findings to stakeholders. You'll also mentor junior data scientists and collaborate with other departments to integrate your models into their processes. This role is ideal for someone who thrives in a fast-moving environment and enjoys tackling challenging problems.
Key requirements for this position include a strong background in fraud detection techniques, proficiency in programming languages like Python or R, and experience with machine learning and data visualization. A minimum of five years in a data science role is expected, along with a proven track record of delivering impactful results in a similar domain.
If you're passionate about using data to combat fraud and want to make a tangible impact in a growing company, this could be the perfect opportunity for you. Join Impact Tech and help shape the future of fraud prevention.
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