Senior Data Scientist — Banking Analytics & Insights

Old Mutual; Johannesburg; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Old Mutual South Africa is seeking a seasoned Data Analytics Specialist to join our team in Johannesburg. You will analyse data to draw insights, patterns and conclusions that inform product improvements, processes and strategic direction.

The role requires expertise in data cleaning, forecasting, modeling and AI/ML techniques, handling large datasets and collaborating across departments to drive business value.

Qualifications

• Relevant qualification, preferably Bachelor's 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 is advantageous.

Responsibilities

• Analyse data to draw insights, patterns and conclusions that inform product improvements, processes and strategic direction.
• Develop and apply robust analytics including data cleaning, forecasting, modeling and AI/ML techniques, handling large datasets and collaborating across departments to drive business value.
• Lead cross-functional teams in the implementation and ongoing use of analytics tools and functionalities.
• Create reporting strategies and templates; translate insights into actionable recommendations.
• Ensure data integrity and governance across tracking and models.
• Coach and mentor data scientists in the areas of machine learning, statistical analysis and predictive models.

Skills

Action Planning

Business Requirements Analysis

Computer Literacy

Data Compilation

Data Controls

Data Management

Executing Plans

IT Architecture

IT Network Security

Policies & Procedures

Education

Bachelor's Degree

Job description

Old Mutual South Africa is seeking a seasoned Data Analytics Specialist to join our team in Johannesburg. You will analyse data to draw insights, patterns and conclusions that inform product improvements, processes and strategic direction.

The role requires expertise in data cleaning, forecasting, modeling and AI/ML techniques, handling large datasets and collaborating across departments to drive business value.