Data Science and Analytics Lead - Midrand Verfied

Salary Negotiable Midrand, Gauteng Midrand, Gauteng more than 14 days ago 04-05-2022 9:25:21 AM
29-06-2022 9:25:21 AM
Data Science & Analytics Lead
Midrand

Create and deliver data-driven solutions that add business value through the use of statistical
models, machine learning algorithms, data mining and visualization techniques throughout the
Internal Audit cycle.

• Make strategic recommendations on data collection and experimental design incorporating business
• Identify solutions to enhance cost effectiveness and increase operational efficiency.
• Provide input into the risk identification processes and communicate recommendations in the
• appropriate forum.
• Collaborate with business to define approach to resolution of key business problems or development of
• new business strategies.
• Identify, understand and interpret data structures across various databases within the business to
• facilitate data analysis and continuous monitoring activities.
• Contribute to the development of differentiated; superior solutions that meet stakeholder and business
• requirements through analysis; business requirements gathering and designs validation.
• Model and frame business scenarios that are meaningful and which impact on critical business
• processes and/or decisions.
• Participate and/or lead discovery processes with business stakeholders to identify problems and
• opportunities that may be addressed with statistical modelling or machine learning.
• Contribute to the development of the audit cloud adoption strategy in alignment with the business.
• Identify and develop Predictive and Prescriptive Models to enable better decision making of business.

• Post graduate degree in Mathematics, Economics, Statistics, Engineering, Computer Science
other quantitative field.
• Practical data science application experience in solutioning to achieve objectives that enhances decision-making.
• 5-8 years' data analysis experience within the financial services environment.
• Extensive experience with at least one programming language (e.g.Python), business analytics software (e.g. SAS) statistical package(e.g. R).
• Experience in database language (e.g. SQL).
• Experience in the Audit and assurance (IT related Audit and Advisory) and Risk Management disciplines is an advantage.
• Certified Information Systems/IT Auditor (preferable). m4.5m