Job Description

Lets Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

naCollect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results. OML Roles mapped to this profile are: People Data & Analytics Practitioner.

Key Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.

• Analyze large datasets to identify patterns, trends, and correlations.

• Develop and implement predictive models using statistical and machine learning techniques.

• Apply machine learning algorithms for classification, regression, clustering, and forecasting.

• Create data visualizations, dashboards, and automated reports (Power BI / Excel).

• Collaborate with business stakeholders to translate data into actionable insights.

• Support data governance, quality, and compliance initiatives (aligned to DMP / DCAM principles).

• Automate data pipelines and workflows where possible.

• Perform data profiling, transformation, and feature engineering.

• Monitor model performance and continuously improve models.

Minimum Requirements:

Technical Skills

Programming Languages

• Python

• R

• Microsoft SQL (T-SQL)

• DAX

• TypeScript

• C/C++

• Ballerina

• C# (.NET)

• Node.js

Data Tools & Technologies

• Power BI

• Microsoft Excel (Advanced)

• SQL Server / Databases

• Jupyter / Notebooks

• Power Platform

• VS Code

• Experience with big data frameworks such as Hadoop

Machine Learning & Analytics

Strong knowledge of:

• Supervised & Unsupervised Learning

• Predictive Modeling

• Statistical Analysis

• Data Mining

Data Management & Engineering Skills

• Data quality management and validation techniques

• Data governance awareness (policies, standards, compliance)

• Data profiling and metadata management

• ETL / ELT processes

• Data security and privacy principles

Non-Technical Skills

• Critical Thinking: Ability to analyze complex problems and develop effective solutions.

• Communication: Strong ability to explain technical insights to non-technical stakeholders.

• Collaboration: Work effectively across teams (IT, business, data owners).

• Business Acumen: Understand business processes and translate data into strategy.

• Attention to Detail: Ensuring accuracy and reliability of models and reports.

Qualifications

• Bachelor’s Degree in Computer Science / Data Science / Statistics (NQF Level 7)

• Honours Degree in Computer Science / Data Science (NQF Level 8) will be an advantage.

Experience (Recommended Addition)

• 1–3+ years in Data Science.

• Experience working with large datasets and real-world business problems.

• Experience in financial services or insurance.

Skills

Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gap Analysis, IT Network Security, Management Reporting, Market Analysis, Policies & Procedures, User Requirements Documentation

Competencies

Action OrientedCollaboratesCultivates InnovationCustomer FocusDrives EngagementDrives ResultsManages AmbiguityManages Complexity

Education

NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

22 June 2026 , 23:59

The Old Mutual Story!