Insurance Data Scientist - Hybrid & Impactful Analytics

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive medical, dental, and eye

Job summary

Placements24 seeks an Insurance Data Scientist to join its analytics team in Nelspruit on a hybrid basis. You will apply advanced statistics and ML to extract insights for underwriting, pricing, claims, and fraud detection, while collaborating with stakeholders to translate findings into actionable recommendations.

The role emphasizes data-driven decision making, modeling, and staying current with AI advancements in the insurance sector, offering a competitive salary and growth opportunities.

Qualifications

• Master's or PhD in a quantitative field (stats, CS, math, data science).
• Proven Data Scientist with emphasis on statistical modeling and ML.
• Proficiency in Python or R and SQL.
• Experience with cloud platforms (AWS, Azure, GCP) and big data.
• Insurance industry experience is advantageous.

Responsibilities

• Analyze complex insurance data to identify trends, patterns, and opportunities.
• Develop and implement predictive models for risk assessment, pricing, and fraud detection.
• Utilize machine learning techniques to improve underwriting accuracy and operational efficiency.
• Collaborate with business units to define analytical requirements and deliver actionable insights.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science and machine learning.

Skills

Python

R

SQL

Statistics

Machine learning

Data science

Big data

AWS

Azure

GCP

Education

Master's or PhD

Job description

Placements24 seeks an Insurance Data Scientist to join its analytics team in Nelspruit on a hybrid basis. You will apply advanced statistics and ML to extract insights for underwriting, pricing, claims, and fraud detection, while collaborating with stakeholders to translate findings into actionable recommendations.

The role emphasizes data-driven decision making, modeling, and staying current with AI advancements in the insurance sector, offering a competitive salary and growth opportunities.