Insurance Data Scientist

Placements24; Stellenbosch; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Highly competitive salary and bonus

Health, retirement, and life insurance

Access to analytics tools and training

Completely remote work arrangement

Shape the future of insurance withdata

Job summary

Placements24 is seeking a visionary Insurance Data Scientist to drive data-driven insights across operations in South Africa, including the Stellenbosch region. This fully remote role offers flexibility to work from anywhere and collaborate with an international team of analytics experts.

You will develop predictive models for underwriting, pricing, claims, and fraud detection, analyze large datasets, and create dashboards to communicate outcomes to stakeholders.

Qualifications

• Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience as a Data Scientist with a strong portfolio of modeling projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.
• Excellent communication and presentation skills to translate findings into business solutions.

Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, risk assessment, and fraud detection.
• Analyze large and complex datasets using advanced statistical techniques and programming languages (Python, R).
• Extract, clean, and transform data from various sources to prepare it for modeling and analysis.
• Develop dashboards and visualizations to communicate data insights and model performance to stakeholders.
• Collaborate with product, underwriting, and claims teams to identify opportunities for data-driven improvements.
• Stay at the forefront of data science methodologies and tools, applying them to solve insurance-specific challenges.

Skills

Data science

Machine learning

Communication

Statistical analysis

Education

Master's or PhD in quantitative field

Tools

Python

R

SQL

Big data technologies

Job description

About the Role

Our client is seeking a visionary Insurance Data Scientist to drive data-driven insights and innovation across their operations, with a focus on enhancing customer experience and operational efficiency for clients across South Africa , including the Stellenbosch region. You will be responsible for developing predictive models, analyzing vast datasets, and extracting actionable intelligence to optimize underwriting, pricing, claims management, and fraud detection. This is a fully remote role, offering the ultimate flexibility to work from any location and collaborate with a diverse, international team of experts dedicated to transforming the insurance landscape through advanced analytics.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, risk assessment, and fraud detection.


• Analyze large and complex datasets using advanced statistical techniques and programming languages (Python, R).


• Extract, clean, and transform data from various sources to prepare it for modeling and analysis.


• Develop dashboards and visualizations to communicate data insights and model performance to stakeholders.


• Collaborate with product, underwriting, and claims teams to identify opportunities for data-driven improvements.


• Stay at the forefront of data science methodologies and tools, applying them to solve insurance-specific challenges.

Requirements

• Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.


• Proven experience as a Data Scientist , with a strong portfolio of successful modeling projects.


• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.


• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.


• Excellent communication and presentation skills, with the ability to translate complex findings into business solutions.

Benefits

• An exceptionally competitive salary and a comprehensive performance bonus structure.


• Full suite of benefits including health, retirement, and life insurance.


• Access to cutting-edge technology and professional development resources.


• A completely remote work arrangement fostering ultimate flexibility and work-life balance.


• The opportunity to shape the future of insurance through data innovation.