Data Scientist

Old Mutual; Wes-Kaap; On-site; ZAR 550 000 - 800 000; Full time

Job summary

A leading financial services company in South Africa is seeking a skilled Data Scientist to enhance analytical and reporting capabilities. Candidates should possess a Bachelor's Degree in a quantitative field and experience with SQL and data visualization tools. This role is crucial for developing statistical models and employing advanced analytics to generate insights for business decisions. The position requires strong stakeholder engagement and communication skills to transform data findings into actionable insights.

Qualifications

• 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.
• Employ advanced data analytics and machine learning techniques to detect patterns in data.
• Produce regular and ad-hoc experience reports and data analysis.
• Responsible for building strong working relationships with internal clients.

Responsibilities

• Identify key trends and interact with business to understand impacts.
• Manage data sources that feed into product analytics.
• Present results to internal clients.

Skills

Action Planning

Business Requirements Analysis

Computer Literacy

Data Compilation

Data Management

Executing Plans

Education

Bachelors Degree in Actuarial Science, Statistics, Computer Science, Applied Maths or another quantitative field

Tools

SQL

Tableau

Power BI

Python

R

SAS

Job description

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

An exciting opportunity exists for a skilled data analyst and/or data scientist, within one of Old Mutual’s flagship products, Old Mutual Protect Life Insurance. The focus of the roles is on establishing and growing the analytical and reporting capability for the Protection business.

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 ad-hoc 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 self-managed 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 , 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!