Insurance Data Scientist

Placements24; Noord-Kaap; On-site; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Conferences and training

Cutting-edge technology

Job summary

Placements24 in Kimberley seeks an experienced Insurance Data Scientist to lead advanced analytics initiatives in a dynamic data team. You will build predictive models for risk, fraud, and churn, and translate insights into business actions for insurance operations.

The role requires strong coding skills in Python or R, expertise in ML libraries, and proficiency with SQL and big data tools like Spark. A collaborative, data-driven environment awaits.

Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of professional experience as a Data Scientist, preferably in insurance or financial services.
• Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Develop and implement predictive models for risk scoring, fraud detection, and customer churn.
• Analyze large datasets to identify trends, patterns, and actionable insights for insurance operations.
• Design and execute A/B tests and other experiments to evaluate new strategies.
• Collaborate with business stakeholders to translate needs into data science solutions.
• Build data visualizations and dashboards to communicate findings to a diverse audience.
• Stay abreast of the latest advances in data science, ML, and AI.

Skills

Python

R

SQL

Machine learning

Analytics

Education

Master's degree

PhD preferred

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Tableau

Power BI

Job description

About the Role

Our client is looking for a highly skilled and analytical Insurance Data Scientist to join their growing data analytics team in Kimberley . In this role, you will leverage advanced statistical techniques and machine learning algorithms to extract valuable insights from complex insurance data. Your work will drive critical business decisions related to risk assessment, fraud detection, customer segmentation, and operational efficiency. This is a fantastic opportunity for a data-driven professional to apply their expertise in a challenging and impactful domain, contributing to innovation and strategic growth within the insurance sector.

Key Responsibilities

• Develop and implement predictive models using machine learning techniques for areas such as risk scoring, fraud detection, and customer churn.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights relevant to insurance operations.
• Design and execute A/B tests and other experiments to evaluate the effectiveness of new strategies.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Build data visualizations and dashboards to communicate findings effectively to a diverse audience.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of professional experience as a Data Scientist, preferably in the insurance or financial services industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of database querying languages (e.g., SQL) and experience with big data technologies (e.g., Spark).
• Excellent analytical, problem-solving, and communication skills.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

Benefits

• Competitive salary and a comprehensive benefits package.
• Opportunities for professional development, including conferences and training.
• A stimulating work environment focused on innovation and data-driven decision-making.
• Access to cutting-edge technology and robust data infrastructure.
• Retirement fund and health insurance options available.