PBT Group is seeking a Junior to Mid-Level Data Scientist to join a high-impact, data-driven environment based in Stellenbosch. This opportunity is ideal for a technically strong, analytically minded professional with solid academic foundations in quantitative or data-related disciplines.

The role will involve working with data to generate insights, support decision-making, and contribute to the development of analytical and predictive solutions within a fast-paced business context.

Key Focus Areas

• Strong emphasis on relevant educational background
• Application of statistical and analytical techniques
• Data modelling and exploratory data analysis
• Insight generation and problem solving
• Collaboration with business and data teams

Minimum Requirements

• Junior to Mid-Level experience in Data Science / Analytics / Machine Learning
• Strong academic background in a quantitative field such as:
  • Data Science
  • Statistics / Mathematical Statistics
  • Mathematics / Applied Mathematics
  • Actuarial Science
  • Computer Science
  • Engineering (quantitative disciplines)
  • Physics or similar analytical fields
• Solid understanding of:
  • Statistical concepts
  • Data analysis techniques
  • Data manipulation and modelling

Technical Skills (Preferred)

Exposure to or working knowledge of:

• Python (highly preferred)
• SQL / Data querying
• Machine Learning fundamentals
• Data visualisation / analysis tools
• Data preparation and feature engineering

Experience with common libraries / frameworks (advantageous but not mandatory):

• Pandas / NumPy
• Scikit-learn
• Jupyter / notebooks
• Power BI or similar tools

Responsibilities

• Perform exploratory data analysis and data interpretation
• Develop analytical models and data-driven insights
• Work with structured and unstructured datasets
• Support business problem-solving using quantitative techniques
• Collaborate with stakeholders and technical teams
• Contribute to continuous improvement of data solutions

Ideal Candidate Profile

This role is well suited to candidates who:

• Possess strong academic training in quantitative disciplines
• Are early in their Data Science career but technically capable
• Demonstrate strong analytical and problem-solving abilities
• Are comfortable working onsite in Stellenbosch
• Show curiosity, learning agility, and attention to detail

Location Requirement

This is a Stellenbosch-based role.

Candidates should be:

• Based in the Western Cape or
• Willing to work onsite in Stellenbosch

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* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.