Data Scientist

7 days ago

Sandton, Gauteng, South Africa Guardrisk Full time R180 000 - R250 000 per year

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

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