Job Description

Business Unit:

Discovery Health

Function:

Data Sciences

Date:

17 Apr 2025
Discovery Health
Junior Data Scientist

About Discovery

Discovery's 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 (Risk Intelligence)

The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures.

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)