Data Scientist: Machine Learning

Recruiter:

Network Recruitment

Job Ref:

NFP015949/ZG

Date posted:

Wednesday, August 6, 2025

Location:

Johannesburg, South Africa

SUMMARY:
Excited by the power of data to drive change? Join a leading organisation as a Data Scientist and help build cutting-edge models that shape strategy and deliver real business impact.

POSITION INFO:
Collaborate with a dynamic Data Science team to build and deploy advanced analytics solutions that solve complex challenges, from model development to real-world impact. Drive data-driven decision-making across the full data science lifecycle.

Responsibilities:

Collaborate with the Data Science and Analytics team to support data-driven insights, measurement, monitoring, and decision-making.
Apply advanced analytical techniques to develop predictive and prescriptive models that drive value across business functions.
Work across the full data science lifecycle, from problem definition and business understanding to model development and deployment.
Perform data preprocessing, feature engineering, hypothesis testing, and machine learning model training.
Deploy models into production, monitor performance, and refine solutions to ensure continuous improvement and business impact.

Required:

Bachelor’s Degree with Honours, Master’s, or a Doctorate in quantitative disciplines, such as Actuarial Science, Statistics, Computer Science, Engineering, or Mathematics.
Relevant professional certifications in data science and associated technologies (for example, Python, Azure, AWS, Spark, big data, machine learning, and cloud platforms).
Minimum 5 years of practical experience leading or actively participating in data science projects.
Strong command of Python machine learning libraries and tools (including NumPy, Pandas, Matplotlib, and SciPy) and experience using Jupyter notebooks.
Advanced SQL capabilities and proven experience handling extensive datasets.
Proven track record of leveraging machine learning methods to address practical challenges.
Familiarity with Agile frameworks and experience collaborating in Agile teams.
Demonstrated success in deploying data science models or data-driven solutions into production environments.

If you are interested in this opportunity, please apply directly to For more finance jobs, please visit

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