Requirements:

- Relevant Degree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, or a related quantitative field
- Strong Data Science experience
- Strong Python experience for data analysis and model development
- Strong SQL experience
- Strong understanding of statistics, probability, and hypothesis testing
- Experience with exploratory data analysis (EDA) and data preparation
- Experience building and evaluating machine learning models
- Experience with predictive analytics, classification, regression, clustering, and forecasting techniques
- Experience with feature engineering and model optimization
- Experience working with large and complex datasets
- Experience with Scikit-learn and related machine learning libraries
- Experience creating data visualizations and presenting insights to stakeholders
- Experience translating business requirements into analytical solutions
- Understanding of model validation and performance measurement techniques
- Experience working in cloud environments such as Azure, AWS, or Google Cloud Platform
- Experience with Git and version control systems
- Strong analytical, problem-solving, and communication skills
- Agile / Scrum experience
- Passion for data, analytics, and continuous learning

Advantageous:

- Experience with TensorFlow or PyTorch
- Experience with Natural Language Processing (NLP)
- Experience with Time Series Analysis and Forecasting
- Experience with Deep Learning models
- Experience with Power BI, Tableau, or Looker
- Experience with Databricks or Apache Spark
- Experience with Azure Machine Learning, AWS SageMaker, or Vertex AI
- Experience with R programming language
- Experience within Financial Services, Insurance, Telecommunications, Healthcare, or Retail environments
- Experience conducting research-driven analytics projects
If you're ready for your next Data Science opportunity, I'd love to hear from you.

Send me your CV now to tmashiane@networkrecruitment.co.za

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.