Job title : Data Scientist II - Collections Analytics
Job Location : Gauteng, Johannesburg
Deadline : October 25, 2025
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Job Description
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.Are you someone who can :
Use statistical methods and tools to analyse data and identify trends, pattens and draw insightsBuild, implement and monitor a range of data driven statistical models and collections strategies to improve credit collections processes, customer experience and business profitabilityDrives process automation, optimization and productionalize existing and new business strategies and models into relevant platformsThrives in high-pressure, fast-paced environments, maintaining a strong work ethic and focus to meet tight deadlinesThinks creatively and strategically, approaching problems with an open mind and a solution-focused mindsetCommunication, stakeholder management, and ability to present clearly, concisely to both technical and non-technical audiences.Intermediate coding skills in SAS is essentialDelivers high-quality, reliable outputs within set timelines—prioritizing accuracy, clarity, and impactExperience with Model monitoring, optimization and / or deployment will be advantageousPrior experience with technical documentation and process mapping will be advantageous.Has experience in Collections Analytics will be advantageousYou will be an ideal candidate if you :
Have a relevant Degree in Mathematics, Statistics, Engineering, Computer Science, Econometrics, Physics or Actuarial Science, Mathematics, or equivalentHave a minimum of 2-3 years' relevant Data Science experience within a Credit risk environment.Intermediate to advanced level of proficiency in SQLIntermediate to advanced level of proficiency in SASProven experience within Collection Analytics will be preferredEnd Date : October 21, 2025
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