Job Description

To plan, organise and execute all data science related work for the Group. The incumbent works with CHG's data management, executes data strategy and works within the parameters of best practice standards for data analytics and business intelligence.
REQUIREMENTS
Minimum Qualifications

• Honours Degree in (Actuarial Science, Mathematics, Statistics or Data Science)

• Must have a minimum of 5 years' relevant experience
• Healthcare experience is non-negotiable

• Healthcare funding models including Alternative Reimbursement models
• Risk adjustment methodologies
• Clinical Groupers including the diagnostic related grouper and Case Mix related concepts
• Clinical coding including ICD-10 and CPT coding
• Material coding including NAPPI codes, ATC codes
• Modelling concepts including GLMs, Machine learning models
• Communication
• Senior Stakeholder management
• Data Analytics and presentation

• Work with large datasets on data extraction, cleaning, extrapolation, analysis and presentation
• Formulate data science solutions to business problems by collaborating with relevant business leads
• Design and implement algorithms to solve a wide array of problems with analytics and statistical approaches built on high dimensional datasets
• Manage interfaces beyond CHG with relevant bodies and structures regulating or driving best practice for the Actuarial practice
• Participate in creating toolkits and training materials that will support building a steady skills pipeline
• Drive adherence to statutory standards, policies and procedures within the business unit to ensure compliance at all times and take remedial action where necessary
• Plan, design, develop, optimise and assist with deployment and enhancement of predictive models
• Provide input and expertise in the development of advanced analytics strategy for the Group
• Provide subject matter expertise in areas such as hospital operations, funder relation management, performance measure development, healthcare administration, patient satisfaction, labour and productivity analytics and financial modelling.
• Identify innovative ways to improve business practices, processes and synergies to increase efficiencies