Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.

We are looking for a Data Scientist to join our client based in Sandton on a permanent hybrid role.
What you will be doing:

  • Analyse complex datasets to identify trends, patterns, and correlations that drive actionable insights.
  • Develop, implement, and validate machine learning algorithms and statistical models.
  • Build, operationalise, maintain, and explain predictive models to business and technical stakeholders.
  • Participate in the analysis, design, development, troubleshooting, and support of the reporting and analytics platform.
  • Develop BI solutions using SQL, ETL scripting, database programming, and reporting tools on the Microsoft BI stack.
  • Build scalable data pipelines for collecting, processing, and analysing large volumes of structured and unstructured data.
  • Automate recurring analytical processes and monitor ongoing performance.
  • Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into business workflows.
  • Manage multiple tasks simultaneously and respond quickly to data-related issues.

What we are looking for:

  • Bachelor’s Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology, or equivalent experience.
  • 4+ years’ experience working as a Data Scientist or in a similar BI-focused role.
  • Strong experience with Power BI, Azure Data Factory, and Azure Synapse Analytics.
  • Advanced proficiency in Python / R, C++, C#, or Java.
  • Extensive experience with Microsoft SQL Server and T-SQL.
  • Strong understanding of statistical concepts, data modelling techniques, and experimental design principles.
  • Experience developing BI solutions in medium to large organisations.
  • Familiarity with the financial services industry, particularly insurance, is advantageous.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Exposure to big data technologies (Hadoop, Spark, Kafka) and cloud platforms (Azure, AWS, GCP) is beneficial.
  • Excellent problem-solving, communication, and stakeholder engagement skills.

Please note: If you do not hear from us within 3 weeks, consider your application unsuccessful.

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Desired Skills:

  • Data Scientist
  • Business Intelligence (BI)
  • Power BI
  • T-SQL
  • Python
  • R
  • Azure Data Factory

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