Description:
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.
Write reusable and production ready code.
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.
Ensure conflict resolution and respond to any complaints or concerns.
Support skills development and transfer initiatives.
Comply with cost controls to achieve section budget.
Research, collate and present business intelligence to feed into management decisions and support business strategy.
Ensure complete, timeous and accurate reporting with appropriate levels of escalation to enable effective decision making.
Identify and implement opportunities for cost reduction and to streamline processes.
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.
Provide advice (and where necessary draft relevant documentation) regarding group Standards, Policies and SOPs pertaining to Data Science, Analytics and Business Intelligence.
Identify innovative ways to improve business practices, processes and synergies to increase efficiencies.
Manage interfaces beyond company with relevant bodies and structures regulating or driving best practice for the Actuarial practice.
Requirements:
- Statistics, Data Science).Data Analysis
- ICD10 And CPT Coding
- Material Coding Including NAPPI Codes, ATC Codes.
- Modelling Concepts Including Glms,
- Knowledge Of Machine Learning Models.
B Hons (Actuarial Science, Mathematics, Statistics or Data Science).
3-5 years’ relevant experience.
Healthcare experience is non-negotiable.
Knowledge of Clinical coding including ICD-10 and CPT coding.
Knowledge of Material coding including NAPPI codes, ATC codes.
Knowledge of Modelling concepts including GLMs, Machine learning models.