Data Scientist (Business Intelligence)

Midrand - South Africa

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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 of 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 modelling techniques and experimental design principles

Duties and 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 and 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 mid-sized 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)

Required Experience:

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...

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 of 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 modelling techniques and experimental design principles

Duties and 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 and 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 mid-sized 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)