HomeChoice is looking for a Junior Data Scientist to join its Data Science team in Cape Town. This entry-level role suits a recent graduate or early-career professional who is analytical, curious and eager to grow hands-on experience working with real business data in a fast-paced retail environment.
The successful candidate will support the development, monitoring and improvement of statistical and machine learning models that help guide decisions across Credit Risk, Collections, Fraud and Marketing.
Key Responsibilities
Data Preparation and Analysis
- Extract, clean, validate and analyse customer, product, credit and campaign data using SQL, SAS, Python and related tools
- Identify trends, patterns and opportunities that support reliable business decision-making
Reporting and Insight Delivery
- Prepare clear PowerBI reports, summaries and data outputs for stakeholders
- Translate analytical results into practical, business-friendly insights
Model Monitoring and Maintenance
- Monitor predictive models across Credit Risk, Collections, Fraud and Marketing
- Track performance, data quality and unusual results, escalating issues where required
Predictive Modelling Support
- Support model development, testing, validation and documentation under guidance
- Prepare features, training datasets and performance summaries for repeatable model review
Best Practice, Coding Standards and Automation
- Follow coding standards, write reusable code and maintain clear documentation
- Automate regular processes to reduce manual effort while maintaining output quality
Use of AI Tools and Emerging Technologies
- Use approved AI tools to improve productivity, support coding, summarise outputs and explore analytical approaches
- Validate AI-generated outputs for accuracy, relevance, business context and data governance compliance
Collaboration and Continuous Learning
- Collaborate with data and business teams to understand requirements and deliver useful outputs
- Continuously build knowledge of business processes, data science, machine learning, statistics and software development
Requirements
- Undergraduate degree or relevant qualification in Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Systems or a related numerate discipline
- Foundational to intermediate SQL, SAS, Python and Excel skills, with the ability to extract, clean, analyse and interpret structured datasets
- Understanding of statistics, probability theory, data analysis and machine learning concepts
- Exposure to data science, machine learning, statistical analysis, predictive modelling, reporting or automation through academic projects, internships, graduate programmes, personal projects or early career work experience
- Ability to write clear, structured and well-documented code that supports repeatable analysis, handover and future review
Advantageous
- Ongoing personal development in data science, statistics, AI or machine learning through online learning, certifications, portfolio work or personal projects
- Exposure to retail, credit, collections, fraud, marketing, customer analytics or model monitoring
What HomeChoice Is Looking For
HomeChoice wants someone curious, analytical and passionate about solving problems using data. The ideal candidate has strong attention to detail, takes pride in accurate work, is comfortable learning new tools, and can translate data findings into simple, practical insights for business teams. Collaboration, accountability and eagerness to contribute to a high-performing Data Science team are essential.
Location: Cape Town, South Africa
Type: Entry-level Jobs

Leave a Reply