Healthcare Data Scientist: ML, Analytics & Impact

Discovery Limited; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Discovery Health is seeking an experienced Data Scientist (Intermediate) to leverage vast clinical, demographic and operational data. You will work within a growing team to optimize client services across Discovery’s client schemes, contributing to data-driven insights and improvements.

The successful candidate will mine data, apply advanced ML techniques, and communicate findings clearly. Collaboration, curiosity, and a passion for healthcare analytics are essential.

Qualifications

• Honours or Master’s degree in Data Science, Statistics or Applied Mathematics with some software experience.
• Honours or Master’s in CS/Software Engineering with ML experience.
• 2-3 years’ work experience in a data science position.

Responsibilities

• Connect with stakeholders to understand healthcare data context.
• Mine large structured and unstructured datasets for insights.
• Research and apply up-to-date ML algorithms and AI techniques.
• Present findings in actionable ways for internal/external use.
• Implement results in internal and external environments.
• Improve processes and databases where opportunities arise.

Skills

R

Python

Scala

SQL

Data storytelling

Big Data

Machine learning

Communication

Git

Team collaboration

Education

Honours/Master’s in Data Science/Statistics/Applied Mathematics

Honours/Master’s in Computer Science/Software Engineering

Other analytical qualifications with relevant experience

Tools

Hadoop

MapReduce

Spark

Job description

Discovery Health is seeking an experienced Data Scientist (Intermediate) to leverage vast clinical, demographic and operational data. You will work within a growing team to optimize client services across Discovery’s client schemes, contributing to data-driven insights and improvements.

The successful candidate will mine data, apply advanced ML techniques, and communicate findings clearly. Collaboration, curiosity, and a passion for healthcare analytics are essential.