Head of Operations Intelligence (Discovery Health) at Discovery Limited

Areas of responsibility may include but not limited to

• Providing leadership, guidance and assistance to the team regarding complex machine learning and data science models so that business needs are met, and staff knowledge is improved
• Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
• Connecting with business to get an understanding of their processes and databases to streamline and improve them using analytics.
• Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• 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
• Ensuring the team produces analytic reports, build new models and tools for the business that assists them with the identification of areas for improvement in the member journey
• Ensuring all models and tools built by the team are automated, fully integrated into business and the model performance is monitored
• Presenting reviews and updates of work performed by the team to internal stakeholders
• Presenting operations analytics strategy to operations exco members annually

Personal Attributes and Skills

• Experience in data science programming languages such as R, Python or Scala
• Experience in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• 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
• A passion for data exploration and analytics and uncovering unknown correlations
• Willing to learn and grow exponentially
• Ability to work cohesively in a team environment and balance multiple priorities
• High level of attention to detail, resilience, enthusiasm, energy and drive

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 with experience in statistical modelling, data mining and machine learning
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• A minimum of 5 years’ work experience in the analytics field with experience leading people