Data Scientist, Insurance Analytics & ML Solutions

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

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.