Junior Data Scientist at Discovery Limited

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