Data Scientist Level 2

Were looking for a Data Scientist - Level 2 who is ready to take ownership solve problems independently and contribute meaningfully to project delivery.

As a Data Scientist - Level 2 youll operate as an independent contributor working across multiple problems within a project and delivering high-quality outputs with minimal supervision.

Key responsibilities:

• Own and deliver multiple data science work-streams within projects.
  
• Perform exploratory data analysis (EDA) to uncover insights and guide modelling.
  
• Design build and evaluate machine learning models.
  
• Perform feature engineering and data preprocessing at scale.
  
• Translate business problems into structured analytical solutions.
  
• Write clean scalable and well-documented code.
  
• Validate and interpret model results communicating findings clearly.
  
• Collaborate with engineers product teams and stakeholders.
  
• Contribute to solution design discussions.
  
• Support and guide junior team members where needed.
  

Requirements

• 13 years of experience in data science machine learning or a related field.
  
• Strong programming skills in Python.
  
• Solid understanding of machine learning and data science fundamentals.
  
• Experience with tools such as Pandas NumPy Scikit-learn.
  
• Exposure to PyTorch or TensorFlow (advantageous).
  
• Ability to work independently across multiple tasks.
  
• A STEM degree (BSc minimum; strong academic performance preferred).
  

Required Skills:

Strong programming skills in Python. Solid understanding of machine learning and data science fundamentals. Experience with tools such as Pandas NumPy Scikit-learn. Exposure to PyTorch or TensorFlow (advantageous). Ability to work independently across multiple tasks. A STEM degree (BSc minimum; strong academic performance preferred).

Required Education:

Bachelors 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

Employment Type : Full Time
Experience: years
Vacancy: 1