Insurance Data Scientist

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work environment

Health, dental, vision insurance

Retirement savings plan

Professional development opportunities

Job summary

Placements24 is seeking a highly skilled Insurance Data Scientist to join in Sandton. You will leverage advanced statistics and machine learning to extract insights from large datasets, guiding underwriting, pricing, risk management, and customer analytics.

Collaboration with stakeholders and engineering teams will deploy data-driven solutions in a hybrid work setup. The role emphasizes predictive modeling capabilities and keeping pace with the latest ML and AI advancements to improve business

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or closely related field.
• Proven experience as a Data Scientist with focus on insurance or financial services preferred.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow).
• Strong knowledge of statistical modeling, ML algorithms, and data mining.
• Experience with SQL and handling large datasets.

Responsibilities

• Develop, validate, and deploy predictive models for risk, fraud, and customer segmentation.
• Analyze large datasets to identify trends and opportunities.
• Apply ML techniques and statistical modeling to solve business problems.
• Communicate findings clearly to technical and non-technical audiences.
• Collaborate with IT and business units to implement data-driven solutions.
• Stay current with advances in data science, ML, and AI.

Skills

Python

R

Machine Learning

Statistical Modelling

SQL

Communication

Insurance domain

Education

Master's or PhD in Data Science, Statistics, CS, Mathematics

Tools

scikit-learn

TensorFlow

Job description

About the Role

Our client is looking for a highly skilled Insurance Data Scientist to join their innovative team in Sandton . You will leverage advanced statistical techniques and machine learning algorithms to extract actionable insights from vast datasets, driving strategic decisions across underwriting, pricing, risk management, and customer analytics. This role is critical for enhancing predictive modeling capabilities and optimizing business processes. You will collaborate closely with business stakeholders and engineering teams to deploy data-driven solutions. The hybrid work model supports both focused individual work and collaborative team sessions.

Key Responsibilities

• Develop, validate, and deploy predictive models for risk assessment, fraud detection, and customer segmentation.
• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Utilize machine learning techniques and statistical modeling to solve complex business problems.
• Communicate complex findings and recommendations clearly to technical and non-technical audiences.
• Collaborate with IT and business units to implement data-driven solutions.
• Stay current with the latest advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on insurance or financial services preferred.
• Expertise in programming languages such as Python or R and relevant libraries (e.g., scikit-learn, TensorFlow).
• Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets and databases.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Exceptional annual salary and potential for significant performance bonuses.
• Hybrid work environment providing flexibility and balance.
• Top-tier health, dental, and vision insurance plans.
• Contributions to a robust retirement savings plan.
• Access to cutting-edge technology and continuous professional development opportunities.