Data Science Manager

Summary

Lead the data science capability within FNB's Short Term Insurance Data & Analytics Office, building propensity and hyper-segmentation models, optimizing claims/servicing/collections operations, and guiding data engineering on big-data platform delivery. Core stack: SAS and SQL with statistical, segmentation, and optimisation techniques.

Job Description

To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the
development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of clients.

Hello Future Data Science Manager,

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.

Role Purpose


This Data Science Manager role is within the FNB Short term insurance Data & Analytics Office. The role is responsible for leading the team, developing and enhancing data science capabilities for operations within the FNB short term insurance business. Join one of the most exciting and fastest growing areas within FNB and grow your career with exposure across both the Banking and Insurance Industry.

Key requirements

  • Manage and optimize our operational processes
  • Develop and manage new propensity models
  • Develop our customer hyper-segmentation target models
  • Reduce attrition on back-book via collections and retentions interventions
  • Work with operations team to help improve TAT and execution
  • Help with analytical reporting for call centre
  • Guide data engineering team on build requirements for BDP/PI implementation

Qualifications and Experience

  • Minimum Qualification - Have a relevant Degree in Mathematical Sciences, Statistics, Actuarial Science, Engineering
  • Preferred Qualification - Honours Degree
  • A minimum of 5 - 8 years' relevant experience of which 2 - 3 years ideally at management level.
  • Intermediate to advanced coding skills in SAS and SQL
  • Intermediate knowledge on advanced analytical techniques e.g., statistical methods, segmentation, optimisation and experimental design.
  • Have specialist skills and experience in operations (claims, servicing and collections) with strong deployment and execution history

You will have access to:

  • Opportunities to network and collaborate

  • A challenging working environment that is progressive and agile

  • Opportunities to innovate where initiative is taken and owned end to end

We can be a match if you are:

  • Adaptable and curious

  • Analyze complex data sets

  • Thrive in a collaborative environment

Apply now if you are interested in taking the next step. We look forward to engaging with you!

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties

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Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

25/08/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

See also

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