OM Bank - Data Scientist

Let's Write Africa's Story Together!

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

Job Description

At OM Bank, we strive to attract great people who are passionate about coming together for a higher purpose- building something unique and aspirational, always aiming to be the best they can be. We are rooted in our purpose of inspiring and enabling our customers to grow and sustain their prosperity.

This role will be responsible for Analysing data to draw insights, patterns and conclusions that will enable the business to improve their products, services, processes or to develop new strategies. Must be adept at handling large, complex datasets and developing and applying robust analytical processes including data cleaning, data interpretation models, forecasting, pattern identification and trend analysis. As well as studying product and process-related data, may also be involved in studying environmental conditions in which the firm operates, competitor behaviour, or other data sources. Requires knowledge of tools and methods including statistics, artificial intelligence and machine learning.

KEY RESULT AREAS

Advanced and Predictive Analytics

• Create well-defined backlog and prioritised road maps that align predictive analytics projects with business needs, leading cross-functional teams in the implementation and ongoing use of advanced and predictive analytics' software tools and functionalities.

 

Model Creation and Maintenance

• Responsible for the maintainance of complex models, ensuring that the underlying assumptions are fully researched and validated and that the models can be integrated into wider business models to enable analysis, reporting, and compliance.

 

Data Exploration

• Perform complex statistical analysis and utilize mining, modeling, and testing techniques to enable data analysis. Experiment with different hypotheses using test and learn methodologies.

 

Data and Analytics Strategy

• Plan all business and technical aspects of different data and analytics systems and platforms. Understand features and properties, ensure data integrity of new and existing tracking, and own the maintenance and administrative functions of these models and data science artifacts.

Performance Improvement through Business Intelligence

• Create complex algorithms that identify patterns in unstructured and structured data through data. Manage data preparation in collaboration with different stakeholders/internal clients in the business. Responsible for commercial value articulation of the models.

 

Data Architecture

• Implement all aspects of data architecture, turning event analytics, raw application data, and business systems into key business insights.

 

Data Collection and Analysis

• Use data from a wide range of sources to analyze key themes and identify possible impacts on the business. Create end to end solutions which include problem defintiion, data acquisition, data exploration and visualisation.

 

Business Requirements Identification

• Proactively elicit complex business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals.

 

Insights and Reporting

• Contribute to the design and creation of reporting strategies and templates.
• Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations.
• Turn data into actionable insights that answer the business pain points identified by telling a succient story with the data.
• Communicate key insights to business in an effective and easy to understand manner.

 

Personal Capability Building

• Act as subject matter expert in an area of technology, policy, regulation, or operational management for the team.
• Maintain external accreditations and in-depth understanding of current and emerging external regulation and industry best practices through continuing professional development, attending conferences, and reading specialist media.
• Coaches and mentors data scientists in the areas of machine learning, statistical analysis and predictive models.

ROLE REQUIREMENTS

• Relevant Qualification, Preferably Bachelors Degree
• Minimum of 5 years in Data and/or a similar role
• Minimum of 5 Years in Data Science role
• Experience within a Banking environment advantageous

 

Skills

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

Competencies

Business Insight

Cultivates Innovation

Drives Results

Manages Ambiguity

Manages Complexity

Plans and Aligns

Situational Adaptability

Strategic Mindset

Education

Closing Date

04 August 2026 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!