Insights and Analytics Manager needed at Absa Group Limited

Job Summary

• To provide specialist advice and support on data analyst delivery, methods and techniques; enabling the construction, maintenance and expansion of data analysis. Apply data mining techniques, statistical analysis, and building high quality machine learning models integrated with our business decisions e.g., products, sales and customer experience delivery.  The role will be a senior agile collaborator within a team of specialist data scientists to help Absa discover the insights hidden in its vast amounts of data, and help enable smarter decisions to deliver better products and services. The senior data scientist will be expected to take on the most complex projects and also provide technical mentoring and coaching for other team members.

Job Description

Key accountabilities

• Solve key challenges with data linkage and digitization by exploring opportunities in disruptive new technology to grow a data-centric culture. 
• Building both predictive and prescriptive machine learning models that will assist with increasing strategic and competitive advantage. All solutions must meet minimum criteria in terms of commercial uplift or increases in efficiencies.
• Partner with internal as well as third party providers of data to expand available datasets
• Provide mentoring to junior team members, through planned interventions as well as by providing guidance on the job by partnering with junior team members
• Ensure that all applicable data risk management standards and policies are adhered too, and also play an active role in the creation, implementation, and maintenance of robust model governance to ensure uniformity and scale of all data models produced.
• Partner with business to solve challenges through data science and also actively partake in the creation of a data science community in the broader organisation by sharing knowledge and skills.

Education

• Bachelor`s Degrees and Advanced Diplomas: Statistics, Bachelor Honours Degree: Physical, Mathematical, Computer and Life Sciences