Junior Data Scientist

SUMMARY:
Kick-start your career in data science by applying advanced analytics and machine learning to real-world financial problems.

POSITION INFO:
Company and Job Description:
A leading financial analytics environment is seeking a Graduate / Junior Data Scientist to join a growing, high-performance team based in Johannesburg. This role offers hands-on exposure to real-world financial datasets, advanced analytics, and machine learning models used across fraud detection, client behaviour analysis, and portfolio optimisation.
You will have the opportunity to work alongside experienced data specialists, contribute to meaningful projects, and develop your technical skills in a structured, supportive environment. This is an ideal opportunity for a detail-oriented and analytical individual looking to build a strong foundation in applied data science within the financial sector.
If you’re eager to learn, motivated by data, and want to see the tangible impact of your work, this role offers excellent growth and long-term career potential.

Key Responsibilities:

• Collect, clean, and prepare structured and unstructured financial data
• Assist in developing and evaluating machine learning models
• Support feature engineering and anomaly detection initiatives
• Create reports and dashboards using Power BI to communicate insights
• Collaborate with cross-functional teams to deliver data-driven insights
• Contribute to automation, reconciliation, and alerting tools

• Education: Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field
• Experience: 0–2 years’ experience in data analysis or data science, preferably within a financial or analytical environment
• Skills:
• Proficiency in Python (pandas, matplotlib, scikit-learn)
• Familiarity with Power BI, Excel, and reporting tools
• Ability to write basic SQL queries
• Understanding of data pipelines, version control (Git), and cloud environments (advantageous)
• Non-negotiables: Strong analytical thinking, attention to detail, ethical integrity, and the ability to communicate insights to non-technical stakeholders