Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.
About (Health Intelligence - Fraud Intelligence)
The position available is in the Discovery Health Fraud Intelligence unit. We apply predictive analytics, big data and analytic skills to provide unique data-driven answers to exciting problems in fraud and risk management. The team has access to structured and unstructured data and makes use of the latest international innovative big data architecture.
Key Purpose
The key purpose of this role is to use big data, predictive analytics and up to date AI techniques to identify and detect potential fraud, waste and abuse for Discovery Health's client schemes. The successful applicant will work closely with the fraud risk management and forensic team to ensure that projects are completed on time and meet the highest quality standards. Your work will directly impact fraud recoveries and ensure efficiency within the team.
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 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 to business users
Monitoring model performance
Improve processes and databases where opportunities arise
Personal Attributes and Skills
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 adapt to emerging technologies and tools
Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
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
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
Education and Experience
Honours or Master's degree in Computer Science with solid experience in statistical modelling, data mining and machine learning, OR 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
Other analytical qualifications will also be considered if accompanied by the relevant experience
A minimum of 1 years' work experience in a data science position
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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