Data Scientist (Intermediate)

Discovery Limited; Sandton; Sur place; ZAR 700 000 - 900 000; Plein temps

Résumé du poste

Discovery Health, part of Discovery Limited, seeks an Intermediate Data Scientist to leverage clinical, demographic and operational data to delight customers and improve client schemes. You will join a growing, highly specialized team exploring large datasets, applying modern ML techniques, and presenting actionable insights to stakeholders.

You will contribute to production environments and continuously learn while enabling data-driven decisions across the organisation.

Qualifications

• Honours or Master’s degree in Data Science, Statistics, or Applied Mathematics.
• 2–3 years of work experience in a data science position.
• Experience with big data environments is preferred.
• Strong analytical and communication skills and the ability to translate insights to stakeholders.

Responsabilités

• Collaborate with stakeholders to understand data in a healthcare context.
• Mine large structured and unstructured datasets to extract insights for healthcare efficiency.
• Research and apply modern ML algorithms and AI techniques.
• Present data and model findings in actionable formats for decision-makers.
• Implement results for use in internal and external environments.
• Improve processes and databases where opportunities arise.

Connaissances

Python

R

Scala

SQL

Big Data

Machine Learning

Data Visualization

Git

Communication

Formation

Honours or Master’s in Data Science

Honours or Master’s in Computer Science

Outils

Hadoop

Spark

MapReduce

Git

Description du poste

Select how often (in days) to receive an alert:

Data Scientist (Intermediate)

Business Unit: Discovery Health

Function: Data Sciences

Date: 8 Oct 2026

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

• Connecting with a multitude of stakeholders to understand the data in a healthcare context
• Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and 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
• Implementing results for use in both the internal and external environments
• 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 (Hadoop and MapReduce)
• 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)
• Production environment machine learning and AI
• A passion for data exploration and complex healthcare environment
• 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
• Ability to adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

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 or Software Engineering with solid 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 2-3 years’ work experience in a data science position

EMPLOYMENT EQUITY The Company’s 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.