DATA SCIENTIST – MELROSE ARCH – GAUTENG

Tych Business Solutions; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading analytics company in Johannesburg is seeking a Data Scientist responsible for using advanced analytics and machine learning to derive actionable insights from complex datasets. The ideal candidate will have a Bachelor's degree in Data Science or a related field and 3-5 years of relevant experience. Proficiency in Python, R, SQL, and visualization tools is essential, along with a solid understanding of cloud platforms. This role offers the opportunity to influence strategic decision-making and drive innovation within the organization.

Qualifications

• 3-5 years of experience in data science, analytics, or a related field.
• Proven experience with machine learning and predictive modelling.
• Familiar with version control systems and collaborative development practices.

Responsibilities

• Leverage advanced analytics and machine learning for insights.
• Support strategic decision-making and drive innovation.
• Enhance operational efficiency across the organization.

Skills

Machine learning

Statistical analysis

Data visualization

Python

R

SQL

Education

Bachelor's degree in Data Science or related field

Tools

Power BI

Tableau

AWS

Azure

GCP

Spark

Hadoop

Git

Job description

Duties

The Data Scientist is responsible for leveraging advanced analytics, machine learning, and statistical modelling to extract actionable insights from complex datasets. This role supports strategic decision-making, drives innovation, and enhances operational efficiency across the organisation.

Minimum Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3–5 years of experience in data science, analytics, or a related field.
• Proven experience with machine learning, predictive modelling, and statistical analysis.
• Strong proficiency in Python, R, SQL, and data visualisation tools (e.g., Power BI, Tableau).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is advantageous.
• Familiar with version control systems (e.g., Git) and collaborative development practices.

Advantageous

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience in healthcare, retail, or insurance data ecosystems