Graduate /Junior Data Scientist

ExecutivePlacements.com - The JOB Portal; Johannesburg; On-site; ZAR 300,000 - 550,000; Full time

Job summary

A leading financial analytics team is seeking a motivated Graduate or Junior Data Scientist located in Johannesburg. The role includes data preparation, model development, and creating reports and dashboards to drive business insights. Ideal candidates will have a degree in a quantitative field and be adept in Python and data visualization tools.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Finance, Economics, or related field.
• 0–2 years experience in data analysis, preferably in financial sector.
• Proficient in Python and data visualization tools.

Responsibilities

• Gather, clean, and process structured and unstructured data.
• Assist in designing and training machine learning models.
• Create dashboards and reports using Power BI and Excel.

Skills

Data Preparation

Machine Learning

Data Analysis

Data Visualization

Collaboration

Education

Bachelor’s degree in Data Science

Postgraduate studies in analytics or finance

Tools

Python

Power BI

SQL

Excel

Tableau

Job description

Graduate/Junior Data Scientist

Recruiter:

Curiska

Job Ref:

1968503972

Date posted:

Wednesday, May 21, 2025

Location:

Johannesburg, South Africa

SUMMARY:

POSITION INFO:

Job Title: Graduate / Junior Data Scientist (Rosebank)

Role Summary:

We are seeking a motivated and detail-oriented Graduate or Junior Data Scientist to join a dynamic financial analytics team. This role is ideal for recent graduates or individuals with up to 2 years of experience who are passionate about using data to drive business decisions and uncover insights in the financial sector. You will support the development of models, automate reporting processes, and contribute to data-driven tools used across the business.

Key Responsibilities:

• Data Preparation & Exploration:
  
  

Gather, clean, and process structured and unstructured data from multiple financial sources, including transaction records, market data, and client behavior logs.

Transform raw data into structured formats suitable for analysis and reporting.

Ensure data accuracy, consistency, and quality throughout the pipeline.

• Model Development & Evaluation:
  
  

Assist in the design and training of machine learning models, including anomaly detection, classification, and regression models.

Support feature engineering and model performance analysis.

Document model outcomes, assumptions, and areas for improvement.

• Reporting & Visualization:
  
  

Create dashboards and reports using Power BI and Excel to communicate findings.

Present complex data in an understandable and visually clear format tailored to stakeholders.

• Collaboration & Support:
  
  

Work closely with analysts, data engineers, and business stakeholders to understand data requirements.

Assist in building automation tools and alert systems for internal operational efficiency.

Provide data support to multiple teams by translating business questions into analytical queries.

• Continuous Learning & Process Improvement:
  
  

Stay up to date with trends in data science, finance, and relevant technologies.

Identify and suggest improvements in data processes and toolsets to enhance productivity and insight generation.

Qualifications & Experience:

Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related quantitative field.

Additional certification or postgraduate studies in analytics or finance is advantageous.

0–2 years of relevant experience in data analysis, preferably in a financial or analytical environment.

Technical Skills:

Proficiency in Python, including packages like pandas, matplotlib, and scikit-learn.

Experience with data visualization tools such as Power BI or Tableau.

Working knowledge of SQL and Excel for querying and manipulating data.

Exposure to financial databases or market data platforms is a plus.

Familiarity with Git, data pipelines, or cloud platforms (e.g., Azure, AWS) is an advantage.

Please send your CV to with your qualification and transcript if you are interested.