Data Scientist, Analytics & Optimization (Insurance)

FNB South Africa; Randburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

FNB South Africa is seeking a data scientist to plan, build and implement innovative analytical models, providing insights to drive short-term insurance initiatives. You will explore diverse data sources, apply advanced techniques and present findings to leadership, owning projects end-to-end.

The role emphasizes initiative, collaboration with stakeholders, and a growth mindset, with opportunities to influence business strategy and efficiency improvements.

Qualifications

• Minimum qualification: B Degree in Engineering, Mathematical Sciences, Statistics, Actuarial Science
• Preferred qualification: Honours Degree
• 3-5 years' relevant experience
• Intermediate to advanced coding skills in SAS
• Advanced analytical techniques: statistical methods, segmentation, optimization, experimental design
• Leadership experience will be advantageous

Responsibilities

• Plan, build, optimise and implement quantitative analytical methodologies and models to support business opportunities and strategy.
• Explore diverse data sources and use advanced techniques to find gaps, improve processes and drive efficiency.
• Present findings to leadership forums and drive strategic discussions across Short Term Insurance.
• Take ownership of projects and collaborate with stakeholders across functions.

Skills

SAS coding

Statistical methods

Segmentation

Optimization

Experimental design

Leadership

Education

Bachelor's degree in Engineering/Math/Statistics/Actuarial Science

Honours degree

Job description

FNB South Africa is seeking a data scientist to plan, build and implement innovative analytical models, providing insights to drive short-term insurance initiatives. You will explore diverse data sources, apply advanced techniques and present findings to leadership, owning projects end-to-end.

The role emphasizes initiative, collaboration with stakeholders, and a growth mindset, with opportunities to influence business strategy and efficiency improvements.