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Data Scientist

3 months ago

Randburg, Gauteng, South Africa FirstRand Full time
Job Description


To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with mínimal guidance.

Role Purpose


This role is within FNB Retail Sales Analytics, and will be responsible for Insights, Identifying opportunities and Central sales reporting across FNB Retail.

The team explores new data sources and analytical methods that enable innovation and creativity by addressing the holistic customer need and driving sales.

We collaborate with multiple stakeholders in designing and implementing customer strategies.

Are you someone who is:

  • Never satisfied with the status quo.
  • Able to produce innovative ideas and solutions based on data. Stating assumptions and overcoming challenges.
  • Selfdriven and able to own their projects.
  • Able to collaborate effectively with different stakeholders.
  • Has a growth mindset aimed at continuous learning and selfimprovement.
  • Openminded and enjoy problem solving.

We can be a match if you are:

  • Curious & courageous
  • you're driven by always wanting to know more and learn more and you're brave enough to take action.
  • Obsessed with mastery you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
  • A team player you believe in the power of teams, building and leveraging your networks.
  • Emotionally intelligent you are able to connect with people to build trust.
  • Enjoy a work environment that provide opportunities to network, collaborate and innovate.

Qualifications & Experience:

  • Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
  • Preferred Qualification: Honours Degree
  • A minimum of 3 years' relevant experience.
  • Intermediate to advanced coding skills in SAS
  • Intermediate knowledge on advanced analytical techniques e.g., statistical methods, segmentation, optimisation, experimental design
  • Leadership experience will be advantageous.
Job Details

Application Closing Date

07/03/24