Junior Data Scientist at 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. 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. The successful candidate must be motivated, productive and work well within a team.

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 datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• You will be expected to deliver clear and reliable results on tight and high-pressured deadlines at times
• Use data to provide insights with predictive modelling, visualisations, advanced SQL scripts
• Present data and model findings in a way that provides actionable insights to business users

Personal Attributes and Skills

• Experience in 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
• Strong analytical and statistical knowledge
• 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)
• 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
• Positive, can-do attitude

Education and Experience

• Honours or Master’s degree in either Statistics, or Applied Mathematics
• 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
• Analytical work experience in the financial or health services industry (advantageous)