Data Scientist at Discovery Limited

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

Do you belong to any of the below:

• ORSSA: Operations Research Society of SA

• SASA: Statistical Association of SA

• SAIIE: SA Institute for Industrial Engineering

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.