SENIOR DATA SCIENTIST – MELROSE ARCH – GAUTENG

Tych Business Solutions; Johannesburg; On-site; ZAR 900 000 - 1 200 000; Full time

Job summary

A data analytics firm in Johannesburg is looking for a Senior Data Scientist to lead the design and deployment of advanced analytics and machine learning solutions. The ideal candidate will have a Bachelor's degree in Data Science or related fields, backed by 6–8 years of experience in the field. The role emphasizes the development of ML models, deep understanding of data engineering, and operational efficiency. Excellent communication and stakeholder engagement skills are also essential for this position.

Qualifications

• 6–8+ years of experience in data science, with 2–3 years in a senior or lead role.
• Proven experience in developing and deploying machine learning models in production environments.
• Solid understanding of data engineering principles and cloud data architectures.

Responsibilities

• Lead the design, development, and deployment of advanced analytics and machine learning solutions.
• Drive strategic decision-making and operational efficiency across the organisation.
• Embed intelligent automation and predictive modelling.

Skills

Python

R

SQL

Machine Learning Libraries

Communication Skills

Stakeholder Engagement

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Tools

scikit-learn

TensorFlow

PyTorch

Azure

AWS

GCP

MLflow

Kubeflow

Airflow

Job description

Duties

The Senior Data Scientist will lead the design, development, and deployment of advanced analytics and machine learning solutions that drive strategic decision-making and operational efficiency. This role requires a deep understanding of data science, data engineering, and AI concepts, and will play a pivotal role in embedding intelligent automation and predictive modelling across the organisation.

Minimum

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 6–8+ years of experience in data science, with at least 2–3 years in a senior or lead role.
• Proven experience in developing and deploying machine learning models in production environments.
• Strong proficiency in Python, R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of data engineering principles and cloud data architectures (e.g., Azure, AWS, GCP).
• Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow).
• Excellent communication and stakeholder engagement skills.

Advantageous

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience with large language models (LLMs) and generative AI.

Experience in healthcare, retail, or insurance data ecosystems