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Data Scientist

Vacancy Details

Reference No.



A prominent financial and services organisation is currently seeking an individual to assume the role of Data Scientist. The successful incumbent will be responsible for designing and managing complex model development and analytics projects to drive innovation and research opportunities while enabling revenue growth and risk mitigation.


  • Demonstrate an integrated knowledge of the company value proposition and value chain by presenting clear and best practice business cases for data initiatives in response to changing organisation situations and requirements.
  • Understand and evaluate environmental inter-dependencies, impacts and opportunities both national and global on the implementation of data objectives.
  • Consider and integrate relevant macro factors into data analytics plans and make adjustments and improvements to data capabilities.
  • Participate in data architecture and engineering decision-making to support downstream analytics.
  • Develop and apply statistical models to collect, organise and summarise data to enable insights or trends for business stakeholders.
  • Perform ad hoc exploratory statistics and data mining tasks on diverse datasets from small scale to big data.
  • Enable best practice capabilities around data analytics to enable knowledge sharing across the stakeholder community.
  • Provide users with collaboration analytic tools to enable organisation insights and timeous problem solving.
  • Develop and validate predictive modelling and machine learning approaches that enable stakeholders to preemptively determine best-fit business tactics. This includes investigating data visualisation and summarisation techniques for conveying key data.
  • Provide complex risk analysis to provide management with organisation insights and recommendations such as strategies for growth, debt management, better risk or return relationships and portfolio performance.
  • Partner with Business teams to support strategic organisation choices and investment decisions. This includes communicating opportunities, financial and process trade-offs from advanced statistical methods.
  • Apply project management methodologies to effectively manage numerous data projects that cut across functional areas. This includes the implementation of change management practices to ensure that any changes are understood, and project objectives achieved.


  • Post graduate degree in mathematics, computer science, statistics or any other quantitative discipline.
  • post graduate degree in Data Science would be beneficial.
  • Knowledge of banking environment and products would be advantageous.
  • In depth knowledge and application of probability and statistics, advanced analytical languages, big data tools and machine learning techniques would be advantageous.
  • Prior experience of data analytics and model development in banking context, preferably.

Kindly note, if you have not heard from us within two weeks of your application please consider it unsuccessful.

Position Type


Work Level



Market Related


Banking/Finance And Investment

Salary Type



Cost To Company

Affirmative Action


Geographic Location

Gauteng - JHB North