Head of Operations Intelligence
About Discovery
Discoverys 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 to not only achieve financial success, but to ignite positive and meaningful change within our society.
About The Data Science Unit Operations Intelligence
The position available is in the Discovery Health Data Science Unit leading the Operations Intelligence team. We apply machine learning including predictive analytics, NLP, big data, and analytic skills to provide unique data-driven answers to exciting challenges and solutions in servicing, operations, and other areas of the business. The team has access to structured and unstructured data and makes use of the latest international innovative big data architecture.
Key Purpose
In this role you will be involved in creating opportunities that delight our customers by leveraging Discoverys vast clinical, demographic, and operational data. Using this data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to support Discoverys world-class servicing and operations. The successful applicant will be working within a highly specialized and growing team of data scientists and operational specialists investigating ways to optimize and improve client services for Discoverys clients.
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
- 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
- Honours or Masters 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 Masters 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
The Companys 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.
