Discovery Limited Data ScientistSandton Jobs in South Africa
Discovery Limited Data Scientist Sandton Jobs in South Africa
Key Purpose The key purpose of this role is to use big data, predictive analytics and up to date AI techniques in order to identify and detect potential fraud within the Discovery Health business.
The successful candidate will need to be able to mine large data sets to find and present new insights to business
Areas of responsibility may include but not limited to
Connecting with a multitude of stakeholders to understand the data in a healthcare and fraud context
Mining large structured and unstructured datasets for data exploration to find new insights to detect healthcare fraud
Research and application of the most up to date machine learning algorithms and AI techniques
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
Personal Attributes and Skills
Technical skills core:
li> 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 data-driven story telling
Understanding and application of Big Data and distributed computing principles
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)
Integration and implementation experience
Behavioral skills:
A passion for data exploration and analytics
Self-starter
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, can-do attitude
Ethical and able to maintain confidentiality and manage boundaries
Aligned to Discovery values and core purpose
Education and 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
How to Apply
For more information and job application details, see; Discovery Limited Data Scientist Sandton Jobs in South Africa
Find daily jobs in South Africa. Jobs - South Africa jobs. Search our career portal & find the latest South African job positions, career opportunities & jobs in South Africa.
Jobs in South Africa - banking jobs, IT jobs, accounting jobs, NGO jobs, business administration, ICT, UN jobs, procurement jobs, education jobs, hospital jobs, human resources jobs, engineering, teaching jobs, and other careers in South Africa.
Find your dream job from 1000s of vacancies in South Africa posted and updated daily - click here!
Find daily jobs in South Africa. Jobs - South Africa jobs. Search our career portal & find the latest South African job positions, career opportunities & jobs in South Africa.
Jobs in South Africa - banking jobs, IT jobs, accounting jobs, NGO jobs, business administration, ICT, UN jobs, procurement jobs, education jobs, hospital jobs, human resources jobs, engineering, teaching jobs, and other careers in South Africa.
Find your dream job from 1000s of vacancies in South Africa posted and updated daily - click here!
Click here to post comments
Join in and write your own page! It's easy to do. How? Simply click here to return to Best African Jobs.
