Data Scientist (Junior to Mid-Level)

apartmentPBT Group placeCape Town calendar_month 

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
  • In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent
  • If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.
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