Data Scientist at Old Mutual

Data Scientist Job Profile

• Understanding and interpreting business requirements and translating them into analytical reporting solutions 
• Develop actuarial / statistical models to enable data driven decision making.
• Identify appropriate models / algorithms to mine large datasets and develop rich insights into member behaviour. 
• Employ advanced data analytics and machine learning techniques to detect patterns in data to generate business insight 
• Identify key trends and interact with business to understand the impact of these trends and identify possible courses of action to mitigate / take advantage of the trends identified.
• Produce regular and adhoc experience reports and data analysis. 
• Managing data sources that feed into product analytics. 
• Responsible for building strong working relationships with internal clients and occasionally presenting results to these clients/forums

Requirements

• A degree in Actuarial Science, Statistics, Computer Science, Applied Maths or another quantitative field. 
• SQL (database querying) and data wrangling experience. 
• Previous Life Insurance experience is beneficial although not a requirement. 
• Experience with data visualization software such as Tableau, Qlikview, Power BI or other will be highly advantageous. 
• Experience in applying machine learning algorithms in Python, R, SAS, or other statistical software would be advantageous
• A solid understanding of relational databases and data flows between systems 
• Ability to create dashboards/ reports/ data visualization 
• Be selfmanaged and possess excellent time management skills 
• Excellent stakeholder engagement and communication skills, the ability to transform data into a story that can be told to a layperson is desired. 
• Experience or natural ability to present technical findings to an audience in a simplified way would be a massive distinguishing factor. 
• Provide proactive and reactive support to management in the form of information, reports and presentations 

Skills

• Action Planning, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Executing Plans, IT Architecture, IT Network Security, Policies & Procedures

Competencies

• Action Oriented
• Collaborates
• Cultivates Innovation
• Customer Focus
• Drives Results
• Ensures Accountability
• Manages Ambiguity
• Manages Complexity

Education

• Bachelors Degree (B)

Closing Date

• 25 November 2025