Data Scientist - Sandton, South Africa - Discovery Ltd.

Discovery Ltd.

Verified Company

Sandton, South Africa

1 week ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Business Unit:
Discovery Health
Function:Data Sciences
Date:8 Jun 2023

DATA SCIENTIST:
Risk Intelligence

Why you should work at Discovery

The role entails making people healthier and protecting and enhancing their lives by leveraging Discovery's vast clinical, demographic and available external data to drive valuable insights to improve the healthcare system. Leveraging data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to prevent disease, halt or reverse disease progression, ensure appropriate healthcare is received and improve quality of care. As an international company with partnerships in most continents this impact will be global.
Discovery is a high performance organisation that prides itself in attracting the finest talent, we challenge ourselves to find solutions that make a difference in the world. Our environment is always buzzing with energetic, smart and motivated people who have a bias for action and truly believe in the core purpose and values of Discovery.
Why you should join our team
The position available is in the Discovery Health Risk Intelligence unit whose stated purpose is to provide excellence in clinical analysis through an integrated and multidisciplinary approach. This contributes to the sustainability of medical aid schemes and ensures Discovery can give members the best possible service with a broader societal impact. We use cutting edge hardware, software and clinical grouper algorithms for data exploration, modelling (actuarial and statistical) and predictive analytics to glean actionable insights.
What you will do
The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve the healthcare environment for the company, the healthcare providers and most importantly the members we serve
Responsibilities will include:
Connecting with a multitude of stakeholders to understand the data in a healthcare context
Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and interaction strategies
Present data and model findings in a way that provides actionable insights
Implementing results for use in both the internal and external environments
Monitoring model performance
Improve processes and databases where opportunities arise

What skills you will need

Technical skills core:

Expert in data science programming languages such as R, Python, Scala
Expert in data manipulation skills including SQL to extract, transform and load data
Experience in interactive data exploration and datadriven story telling
Hands on experience with Big Data systems will be preferred
Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
Ability to formulate problem statements and develop a plan for tackling the problem
Strong ability to communicate findings and recommendations from data (visual, verbal and written)
Production environment machine learning and AI

Technical skills additional:

Experience in sourcing and combining data from both structured and unstructured sources

Behavioural skills:

A passion for data exploration and complex healthcare environment
Selfstarter
Willingness to learn and grow exponentially
A restless curiosity towards data and uncovering unknown correlations
Ability to work cohesively in a team environment and balance multiple priorities
A team player who can work alone when required and without supervision
High level of attention to detail, resilience, enthusiasm, energy and drive
Positive, cando attitude
Ethical and able to maintain confidentiality and manage boundaries
Aligned to Discovery values and core purpose

Professional Qualifications & Experience

Honours or Master's degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
Honours or Master's degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
Other analytical qualifications will also be considered if accompanied by the relevant experience
At least 35 years of work experience
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.