Data Scientist - ML & Data-Driven Insights

Equal Experts; South Africa; On-site; ZAR 600,000 - 1,200,000; Full time

Job summary

Equal Experts is a data-driven consultancy delivering custom software solutions for blue-chip clients worldwide. We employ agile practices to deliver machine learning initiatives and drive business value across multiple sectors.

As a Data Scientist, you will build ML models, collaborate with data engineers and business teams, and ensure timely delivery through CI/CD pipelines. The role emphasizes remote collaboration with globally distributed teams and a strong analytics focus.

Qualifications

• Strong analytical experience with data from multiple angles.
• Significant experience building machine learning products.
• Proficient in Python and data analysis.
• Experience with ML frameworks like Scikit-Learn or TensorFlow.
• Solid SQL knowledge.
• Familiar with source control (Git) and CI/CD.
• Able to communicate with data engineering and BI teams.
• Strong collaboration and communication skills for remote distributed teams.

Responsibilities

• Use data to improve client decision-making and customer experience.
• Uncover deep insights from large data repositories and guide actions.
• Leverage work to increase adoption across business partners.
• Develop quantitative models using ML and advanced data analysis.
• Work in an agile environment delivering ML increments and meeting requirements.
• Promote best practices and standards across client teams.
• Partner with business and engineering teams.

Skills

Analytical skills

Machine learning

Python

SQL

Git / Version control

CI/CD

Communication

Team collaboration

Tools

Scikit-Learn

TensorFlow

Git

CI/CD tools

Job description

Equal Experts is a data-driven consultancy delivering custom software solutions for blue-chip clients worldwide. We employ agile practices to deliver machine learning initiatives and drive business value across multiple sectors.

As a Data Scientist, you will build ML models, collaborate with data engineers and business teams, and ensure timely delivery through CI/CD pipelines. The role emphasizes remote collaboration with globally distributed teams and a strong analytics focus.