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Data Scientist

Business Unit:  Discovery Health
Function:  Data Sciences
Date:  25-Nov-2021

Company and Team Introduction

Discovery has as its core purpose to enhance and protect people’s lives. It does this through breakthrough product designs that harness incentives to encourage people to make healthier lifestyle choices. Healthy behaviour leads to lower claims, higher margins and lower lapses.  These savings are shared with our clients which in turn leads to a healthier society, improved productivity and a reduced healthcare burden.  One of Discovery’s core assets is its large and diverse data, covering health, wellness, driving, investments and life insurance. This forms the basis for our shared value model, as well as innovation, risk management and operational efficiency improvements. Discovery’s energetic and motivated analytical teams make this happen.

 

Positions become available from time to time in the Discovery Group Data Science Lab, which applies predictive analytics, big data and operations research skills, to run and to support key projects for the Group and for the individual Discovery business units. We work across clinical, financial, sales, operational and behavioural theme areas, using modern analytics tools on terabytes of structured and unstructured data within a big data architecture.

 

Role Description

The DS Lab is a highly specialised and growing team that tackles challenges in the health, life and short-term insurance businesses, as well projects that cut across the whole of the Discovery Group, related to driving efficiencies and new business.

 

Responsibilities include:

  • 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, customer interaction strategies, etc
  • Following model implementations through to business adoption
  • Monitoring model performance and using feedback for improvement
  • Improving processes and data collection where opportunities arise

 

 

Professional Qualifications & Experience

  • Honours or Master’s degree in either Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics or Computer Science

 

Competencies

Technical skills:

  • 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 preferred, e.g. Spark, Scala
  • Ability to formulate a clear problem statement, develop a plan for tackling it and clearly communicating findings verbally and in writing
  • Ability to source and combine data from both structured and unstructured sources

 

Personal attitude:

  • A creative and enthusiastic attitude to unearthing valuable insights and generating value for Discovery clients
  • Ability to balance multiple priorities and to step back and see how analytics work fits into the wider business context
  • Aligned to Discovery values and core purpose

 

 

Applications:

Should you be interested in a role in our team, please register your CV in our talent pool at …. and we will contact you when a position becomes available.  

EMPLOYMENT EQUITY   
                             
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

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