Data Scientist

Cosimage Recruitment Agency; Sandton; On-site; ZAR 502,200 - 781,200; Full time

Job summary

A leading recruitment agency is seeking a Data Scientist in Gauteng, South Africa. The role involves leveraging data to drive insights and improve insurance operations through collaboration with cross-functional teams. The ideal candidate will have over 4 years of experience with T-SQL and Microsoft SQL Server, proficiency in programming languages like Python and R, and a strong understanding of machine learning techniques. Knowledge of the financial services industry is preferred. This role offers the chance to work with big data technologies and BI solutions.

Qualifications

• Experience developing business intelligence solutions in large or midsize companies.
• Extensive experience with T-SQL.
• Understanding of the financial services industry, especially Insurance.
• Experience with data visualization tools.

Responsibilities

• Leverage data to drive insights and inform decision-making.
• Collaborate with teams to develop data-driven solutions.
• Analyze complex datasets to identify trends.
• Develop and implement machine learning algorithms.
• Build scalable data pipelines for processing large volumes of data.

Skills

Data analysis

Machine learning

Problem-solving

T-SQL

Data visualization with Power BI

Communication skills

Big data technologies

Education

Bachelor’s degree in Informatics, Computer Science, Statistics, Mathematics or IT

Tools

SQL Server

Python

R

TensorFlow

PyTorch

Apache Spark

Hadoop

AWS

Azure

Google Cloud Platform

Job description

Cosimage Recruitment Agency is a forward-thinking South African recruitment agency committed to reducing unemployment and improving the accessibility of meaningful work opportunities for individuals across communities. Our purpose is to bridge the gap between job seekers and businesses while delivering advanced HR and recruitment solutions that empower organizations to grow and operate efficiently.

Role Description

Leveraging data to drive insights, inform decision-making, and enhance our life and non-life insurance operations.

Work closely with cross-functional teams to develop innovative data-driven solutions that address business challenges and improve overall performance.

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)

Qualifications

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:

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