Data Scientist Level 1 (Graduate / Junior)

• Performing exploratory data analysis (EDA) to identify patterns, trends, and insights
  
• Assisting in the design, development, and evaluation of machine learning models
  
• Cleaning, preparing, and transforming data for analysis and modelling
  
• Developing analytical solutions to solve business problems
  
• Writing clean, maintainable, and well -documented Python code
  
• Conducting statistical analysis and interpreting results
  
• Presenting findings and recommendations clearly to technical and non -technical stakeholders
  
• Collaborating with cross -functional teams on data -driven initiatives
  
• Continuously learning and applying new techniques, tools, and methodologies
  

Requirements

• Bachelor's Degree (BSc, BEng, BCom Honours, BSc Honours, MSc or equivalent) in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Actuarial Science, Physics Or another quantitative STEM discipline
  
• Excellent academic record throughout university studies
  
• Degree obtained from a recognised and reputable university or higher education institution
  
• Strong results in mathematics, statistics, machine learning, programming, or related quantitative subjects
  
• Solid understanding of data science and machine learning fundamentals
  
• Proficiency in Python
  
• Experience with libraries such as: Pandas, NumPy, Scikit -learn
  

• Exposure to machine learning projects through academic work, internships, personal projects, or competitions
  
• Experience with SQL and relational databases
  
• Familiarity with cloud platforms such as AWS, Azure, or GCP
  
• Exposure to TensorFlow, PyTorch, or other machine learning frameworks
  
• Knowledge of data visualisation tools such as Power BI, Tableau, or similar
  
• Participation in Kaggle competitions, research projects, or published academic work