Data Scientist

7 days ago

Soweto, Gauteng, South Africa Mindworx Consulting and Academy Full time R1 000 000 - R3 000 000 per year

As a BI 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.

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

Bachelor's 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 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, 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)

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