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Data Scientist | Sandton

Data Scientist | Sandton

The Recruitment CouncilJohannesburg, South Africa
28 days ago
Job description

Are you a highly skilled Data Scientist ready to apply your advanced analytical and machine learning expertise to the complex challenges of the Life and Non-Life Insurance industry?

A leading provider of Tailored Risk Solutions is seeking an innovative Data Scientist to join our client's Business Intelligence team. This is a key position where you will leverage large-scale data to drive insights, inform critical decision-making, and enhance our core insurance operations. This is your chance to build and operationalise predictive models that unearth hidden insights and directly improve business performance.

Responsibilities :

You will be the vital link between complex data and actionable business strategy, working closely with cross-functional teams, including actuaries and underwriters.

  • Advanced Modelling : Develop, implement, and validate cutting-edge machine learning algorithms and statistical models. Your primary goal will be to build and operationalize predictive models to enhance our insurance operations.
  • Data Strategy & Insights : Analyze complex datasets to identify crucial trends, patterns, and correlations. You will generate, test, and interpret working hypotheses to provide actionable insights that address business challenges.
  • Engineering & Automation : Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data. You will also automate recurring processes and monitor their efficiency.
  • BI Solution Development : Develop comprehensive BI solutions utilizing the Microsoft BI Stack, including SQL, ETL scripting, database programming, and reporting tools.

Experience :

  • A minimum of 4 years working experience as a Data Scientist or in a similar role, preferably within the life and non-life insurance industry.

    • Qualifications :

  • A Bachelors Degree / Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology.

    • Technical Stack :

  • Proficiency in programming languages such as Python, R, or Java, C++, or C#.
  • Extensive experience with T-SQL and Microsoft SQL Server.
  • Essential Azure Stack Experience : Power BI, Azure Data Factories, and Azure Synapse Analytics.
  • Experience with data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, Google Cloud Platform).

    • Core Competencies :

  • Strong understanding of statistical concepts, data modeling techniques, and the ability to translate business requirements into actionable insights.
  • Must have excellent problem-solving skills and effective communication for presenting complex ideas.
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    Data Scientist • Johannesburg, South Africa