Senior Data Scientist – Health Analytics & Risk

Discovery Limited; Sandton; Vor Ort; ZAR 900.000 - 1.300.000; Vollzeit

Zusammenfassung

Discovery Limited in Sandton, South Africa, seeks a Senior Data Scientist to join the Data Science Lab. You will build and deploy ML models for risk, product and customer insights, using Python, R and SQL on large data sets.

The role requires strong statistical thinking, experience with gradient boosting, neural nets and ensemble methods, and the ability to translate findings into business impact. You will collaborate across disciplines, mentor juniors and contribute to cutting-edge analytics

Qualifikationen

• Master’s or PhD in Data Science, Statistics, OR, CS or Engineering.
• Proven experience building and deploying ML models to solve business problems.
• Proficiency in Python, R and SQL for data analysis.
• Experience with gradient boosting, random forests or neural networks.

Aufgaben

• Identify and build models to predict risk, sales and savings.
• Present data insights and model findings to senior stakeholders.
• Mine and visualise large structured and unstructured data to inform product design and risk management.
• Follow model implementations through to business adoption.
• Monitor model performance and use feedback for improvement.
• Run experiments to evaluate different models in a reproducible manner.

Kenntnisse

Python

R

SQL

ML

Big data

Communication

Ausbildung

Master’s or PhD in Data Science, Statistics, OR, CS or Engineering

Tools

Gradient Boosting

Random Forests

Neural Networks

Model deployment

Jobbeschreibung

Discovery Limited in Sandton, South Africa, seeks a Senior Data Scientist to join the Data Science Lab. You will build and deploy ML models for risk, product and customer insights, using Python, R and SQL on large data sets.

The role requires strong statistical thinking, experience with gradient boosting, neural nets and ensemble methods, and the ability to translate findings into business impact. You will collaborate across disciplines, mentor juniors and contribute to cutting-edge analytics