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Data Scientist

Job in Knysna, 6570, South Africa
Listing for: SupportFinity™
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
Location: Knysna

Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients. We are currently looking for a Data Scientist to join one of our top-tier clients in the financial services sector in JHB North. (onsite)

What You Will Be Doing
  • Extracting and analysing digital, clinical and behavioural data to inform product design, customer experience strategies for digital solutions.
  • Developing data science model and A/B testing pipelines for deployment.
  • Applying statistical techniques, behavioural science principles, and data science models to measure and optimize member engagement and user experiences for digital solutions.
  • Working closely with Organisation Health Digital to ensure insights and modelling inputs align with product objectives and app engagement outcomes.
  • Collaborate with systems and engineering teams to integrate data science pipelines into the Health Systems and Health digital solutions.
  • Present insights and results to business stakeholders and senior executives, highlighting the impact of personalized digital experiences on user engagement and experience.
What We Are Looking For
  • BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects.
  • 5 years' experience as a Data Scientist.
  • Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.
  • Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems.
  • Experience accessing and analysing data using language/tools/databases such as Python, R, SQL, etc.
  • Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
  • Some experience in working with big disparate sets of data and exposure to big data tools.
Desired Skills
  • SQL
  • Python
  • R
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