Data Scientist

1 week ago


Sandton, South Africa Guardrisk Full time R500 000 - R1 200 000 per year
Closing Date
2025/11/17

Reference Number
MMH

Job Title
Data Scientist (Business Intelligence)

Position Type
Permanent

Role Family
Business Intelligence

Cluster
Guardrisk

Remote Opportunity
Some of the time

Location - Country
South Africa

Location - Province
Gauteng

Location - Town / City
Sandton

Introduction

As a data scientist, you will play a key role in leveraging data to drive insights, inform decision-making, and enhance our life and non-life insurance operations. You will work closely with cross-functional teams to develop innovative data-driven solutions that address business challenges and improve overall performance.

Disclaimer
As an applicant, please verify the legitimacy of this job advert on our company career page.

Role Purpose

As a data scientist, you will play a key role in leveraging data to drive insights, inform decision-making, and enhance our life and non-life insurance operations. You will work closely with cross-functional teams to develop innovative data-driven solutions that address business challenges and improve overall performance.

Requirements
  • Bachelors degree/ diploma in one of the following fields: Informatics, Computer Science, Statistics, Mathematics or Information Technology
  • Proven experience working as a data scientist or in a similar role, preferably in the life and non-life insurance industry. Proficiency in programming languages such as Python, R, or Java, as well as in data analysis and machine learning libraries ( TensorFlow, PyTorch, scikit-learn)
  • At least 4 years working experience in the following:
  • Power BI (essential)
  • Azure Data Factories (essential)
  • Azure Synapse Analytics (essential)
  • Python / R, C++, C#, Java (critical)
  • Microsoft SQL Server (critical)
  • T-SQL (critical)
  • Effective communication skills, with the ability to collaborate with cross-functional teams and present complex ideas in a clear and concise manner
  • Strong understanding of statistical concepts, data modeling techniques, and experimental design principles
Duties & Responsibilities
  • Participate in the analysis, design, development, troubleshooting and support of the reporting and analytics platform
  • Analyze complex datasets to identify trends, patterns, and correlations
  • Generate and test working hypotheses, and interpret results to provide actionable insights
  • Develop, implement and validate machine learning algorithms and statistical models
  • Build and operationalize predictive models to unearth hidden insights
  • Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into existing workflows and processes
  • Develop BI solutions using SQL, ETL scripting, business intelligence tools, database programming and reporting tools on the Microsoft BI Stack
  • Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data
  • Automation of recurring processes and the monitoring thereof
  • Must have prior experience developing business intelligence solutions in large or midsize companies
  • Must be able to manage multiple tasks simultaneously and react to problems quickly
  • Must have extensive experience with T-SQL
  • Must be able to develop, maintain, review, and explain predictive models
  • Understanding of the financial services industry desired, especially Insurance
  • Experience using data visualization tools, e.g., Power BI
  • Excellent problem-solving skills and the ability to translate business requirements into actionable insights
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform)
Competencies
  • Business acumen
  • Analytical
  • Good communication skills
Enquiries
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