BI Data Scientist

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

We are looking for a BI Data Scientist to join our client based in Sandton on a permanent hybrid role.

POSITION INFO:

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.