Data Scientist at Discovery Limited

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Job Description

Discovery Limited suitably invites qualified and experienced candidates for the position of Data Scientist to join our dynamic team.

Duties & Responsibilities

The successful applicant will be responsible for but not limited to the following job functions:

What you’ll do

  • Mining and visualising large structured and unstructured datasets throughout the businesses to find new insights to inform product design, risk management, sales initiatives, operational efficiency, and customer interaction strategies.
  • Following model implementations from prototyping through to business adoption.
  • Monitoring model performance and using feedback for improvement.
  • Improving business processes and data collection where opportunities arise.

 Required Knowledge and Experience

We pride ourselves with having the best people, which are our most important assets. Our company has been recognized for having the highest ethics and strives for excellence through distinctly higher standards than the norm.

We therefore urge only candidates with these unique requirements and experience to apply for this stimulating position.

  • Honours or Master’s degree in Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics,Computer Science, or similar quantitative field.
  • Solid understanding of statistics and experience in at least one statistical modelling language
  • Good experience with writing queries in SQL
  • Some exposure to big data tools and programming languages is preferred, e.g. Spark, Scala
  • Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing
  • Ability to source and combine data from both structured and unstructured sources
  • Experience in using and/or developing NLP packages and models
  • Experience using machine learning frameworks (e.g. Tensorflow) for training deep learning models is advantageous
Interested applicants should Click here to apply


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