Senior Data Scientist — ML Models & Scalable Pipelines

ATS Client; Johannesburg; On-site; ZAR 1,400,000 - 1,900,000; Full time

Job summary

Absa Bank Limited is seeking a highly experienced Data Scientist to join our analytics team. You will turn complex data into actionable insights, design scalable ML solutions, and implement production-grade code for data pipelines and models.

The ideal candidate holds a 7+ year track record in data science, with strong Python/R skills and expertise in ML frameworks, SQL, and big data platforms. This role demands collaboration across functions and a commitment to robust, maintainable software.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related field.
• 7+ years experience in a Data Scientist or similar role.
• Strong programming skills in Python, R, or similar languages.
• Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with SQL and large-scale data platforms (e.g., Hadoop, Spark).
• Ability to write efficient, scalable, and maintainable code.

Responsibilities

• Design, develop, and deploy advanced machine learning models and statistical solutions
• Write clean, efficient, and production-ready code for data pipelines and models
• Work with large, complex datasets to extract insights and support decision-making
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Optimize algorithms and improve model performance and scalability
• Build and maintain data infrastructure and automation processes

Skills

Python

R

SQL

Machine Learning

Data Analysis

Education

Bachelor's degree in Mathematics or related

Master's degree in Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

Job description

Absa Bank Limited is seeking a highly experienced Data Scientist to join our analytics team. You will turn complex data into actionable insights, design scalable ML solutions, and implement production-grade code for data pipelines and models.

The ideal candidate holds a 7+ year track record in data science, with strong Python/R skills and expertise in ML frameworks, SQL, and big data platforms. This role demands collaboration across functions and a commitment to robust, maintainable software.