Enterprise Data Scientist – ML, MLOps & Analytics (Hybrid)

Sasso Consulting; Johannesburg; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Sasso Consulting seeks experienced Data Scientists to develop, implement and optimise analytics, statistical models and ML solutions in enterprise IT environments.

You will analyse large datasets, build predictive models, and translate insights into practical business solutions, collaborating with data engineers and software teams. Strong Python, SQL, and ML proficiency are essential for success.

Qualifications

• Requires hands-on experience developing statistical and machine learning models.
• Proven ability to analyse large datasets and build predictive solutions.
• Strong programming skills in Python and SQL.
• Experience with data preprocessing and feature engineering.
• Familiarity with cloud data platforms and ML workflows.

Responsibilities

• Identify business challenges suitable for analytics and translate them into data science problems.
• Design and develop statistical and predictive models with clear success criteria.
• Develop end-to-end data science solutions from data prep to deployment and monitoring.
• Collaborate with data engineers, architects and business stakeholders to ensure alignment.
• Document approaches and maintain reproducible analytics processes.
• Contribute to reusable data science capabilities and governance.

Skills

Python

SQL

Pandas

NumPy

scikit-learn

Jupyter

Education

Relevant degree in Data Science / Computer Science / Statistics

Tools

Power BI

Git

Azure

Job description

Sasso Consulting seeks experienced Data Scientists to develop, implement and optimise analytics, statistical models and ML solutions in enterprise IT environments.

You will analyse large datasets, build predictive models, and translate insights into practical business solutions, collaborating with data engineers and software teams. Strong Python, SQL, and ML proficiency are essential for success.