Discovery Limited
Key Purpose
In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s 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 Discovery’s world-class operations. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes.
Areas of responsibility may include but not limited to
Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
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
Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.
Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself).
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 2 years’ work experience in a data science position
go to method of application »
Apply via company website ( ) or