• Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency.
• Clean and transform raw data into structured, usable datasets.
• Conduct exploratory and statistical analysis to identify trends and patterns.
• Build and maintain scorecards, models, and reports to support decision-making.
• Use data visualization techniques to present insights clearly to stakeholders.
• Provide analytical support for projects including market analysis, customer segmentation, and performance tracking.
• Identify opportunities to streamline processes, increase efficiency, and optimize revenue.
• Stay up to date with emerging technologies, tools, and best practices in data science and analytics.

Requirements:

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
• 5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services.
• Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.
• Strong analytical and problem-solving skills with experience handling large datasets.
• Solid knowledge of statistical analysis and data modeling.
• Excellent communication and presentation skills.
• Strong working knowledge of Microsoft Excel and other data manipulation tools.
• Familiarity with data governance and awareness of data privacy regulations is a plus.

What’s in it for You?

• A chance to work in a high-growth, innovative environment.
• Opportunities to make a tangible impact through data-driven decision-making.
• Continuous professional development and learning opportunities.

 
Don’t miss out apply today!

• Develop and implement machine learning models to support product development and business decision-making.
• Analyse large and complex datasets to identify patterns, trends, and actionable insights.
• Collaborate with software developers, product managers, and data engineers to design data-driven solutions.
• Evaluate and improve model performance through rigorous testing and optimization.
• Communicate findings and recommendations to both technical and non-technical stakeholders.

Requirements:

• Proven experience as a Data Scientist with exposure to real-world data science projects.
• Solid understanding of machine learning techniques and statistical modelling.
• Proficiency in Python and relevant libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong SQL skills and familiarity with data wrangling, feature engineering, and model deployment.
• Experience working with cloud platforms, preferably Microsoft Azure.
• Excellent problem-solving skills with the ability to translate complex data into clear insights.

Apply now!
 
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If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information contact:
Reinie Du Preez
Senior Specialist Recruitment Consultant
E-mail: *****@*****.co.za