Capitec Bank

Data Scientist I

27 March 2024
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Deadline date:
£106000 - £180000 / year

Job Description

Apply by: 25/03/2024 

We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Join Us in Becoming the Best Bank in the world!

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Why Choose Us

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About the Role

As a Data Scientist you will deliver the AI strategy to ensure Capitec can compete in a changing landscape where data science is a key future-oriented strategic differentiator. You will design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making. 

Education (Minimum)

  • Honours Degree in Mathematics or Statistics

Education (Ideal or Preferred)

  • Masters Degree

Our ideal candidate has:

Experience

Minimum:

NB. Length of experience required is conditional on the qualifications obtained. 

  • Experience in data science, machine learning and deployment of developed solutions.
  • Business analysis and requirements gathering
  • Reproducible coding experience 
  • Working with relational and non-relational databases
  • Experience in Python ML language

Ideal:

  • Deliver predictive models into a production environment

 

Knowledge

Minimum:

  • Have textbook data science knowledge – a solid understanding of state-of-the-art principles and techniques in at least one discipline of data science, e.g., NLP, Deep Learning, neural networks etc.
  • Solution and experimental design for model development
  • Machine learning development and underlying theory and assumptions of techniques. 
  • Predictive modelling techniques (statistical and machine learning) and deployment
  • Source control systems e.g., Git, Bitbucket, or similar
  • Relational database technologies
  • Data Science lifecycle and applicable skills within

 

Ideal:

  • Familiarity with modern deep learning frameworks (Tensorflow, Keras, PyTorch, etc)
  • SQL experience – extract data

What will you do

  • Follow predefined Data Science life cycle, write code and build predictive models
  • Design, develop and test according to Data Science standards and best practice.
  • Influence and Stakeholder Engagement
  • Work on well-defined and structured problems and deliver on client expectations by providing end to end delivery into production quickly and efficiently.
     

Skills

  • Analytical Skills
  • Attention to Detail
  • Problem solving skills
  • Decision making skills
  • Interpersonal & Relationship management Skills
  • Researching skills
  • Planning, organising and coordination skills

Additional Information

  • Clear criminal and credit record

 Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

For further information regarding this job posting, please contact the Capitec Talent Acquisition Specialist:

Michelle du Plessis