Data Science Head

2 weeks ago


Randburg, Gauteng, South Africa FirstRand Life Assurance Ltd Full time

Description

To implement the Analytics standards across big complex business areas, contributing to the monetization of data by developing and delivering advanced mathematical models and business principles that uncover hidden patterns and connections in data to impact business strategy, inform channel design, and predict client behavior.

Role Purpose:

This role is part of FNB Retail Customer- and Sales Interactions. Responsible for identifying sales opportunities, providing insights, and central sales reporting across FNB Retail. The team explores new data sources and analytical methods to foster innovation and creativity, addressing holistic customer needs, and driving sales. Collaboration with various stakeholders in designing and executing customer strategies. The ideal candidate will have the freedom to think creatively, take ownership of their work, generate actionable insights, and recommendations that drive change within FNB Retail.

You will be an ideal candidate if you:

  • Never settle for the status quo.
  • Generate innovative ideas and solutions based on data, stating assumptions, and overcoming challenges.
  • Are self-driven, taking ownership of projects.
  • Collaborate effectively with diverse stakeholders.
  • Possess a growth mindset for continuous learning and self-improvement.
  • Are open-minded and enjoy problem-solving.
  • Recognize potential in others and foster future leaders.

We can be a match if you:

  • Are curious and courageous, driven by a thirst for knowledge and action.
  • Are obsessed with mastery, consistently striving for excellence.
  • Value teamwork, understanding the strength of collaboration and networks.
  • Have emotional intelligence, adept at building trust and connections.
  • Thrive on networking, collaboration, and innovation opportunities.

Qualifications & Experience

  • Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
  • Preferred Qualification: Honours Degree
  • A minimum of 5 - 8 years' relevant experience, including ideally 2-3 years at a management level
  • Intermediate to advanced coding proficiency in SAS
  • Intermediate knowledge of advanced analytical techniques such as statistical methods, segmentation, optimization, and experimental design

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