Insurance Data Scientist

Placements24; East London; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Medical aid

Retirement fund

Job summary

Placements24 in East London, Eastern Cape is seeking an Insurance Data Scientist to join our analytics team in a hybrid role. You will develop predictive models, analyze large data sources, and collaborate with stakeholders to drive underwriting, pricing, claims, and marketing insights.

The ideal candidate has 5+ years in data science within insurance, strong Python or R skills, and experience with ML libraries and big data tools. Excellent communication and mentoring abilities are essential.

Qualifications

• Master's or PhD in a quantitative field with data science focus.
• 5+ years of experience in data science within the insurance industry.
• Proficiency with Python or R and ML libraries such as scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Design and deploy predictive models for risk, pricing, claims, and churn.
• Analyze large datasets to identify trends and insights for insurance business.
• Collaborate with stakeholders to translate needs into data science solutions.
• Build and maintain data pipelines; ensure data quality for analytics.
• Communicate findings via visualizations and presentations to diverse audiences.
• Mentor junior analysts and stay updated on ML advances in insurance.

Skills

Python

R

SQL

Pandas

scikit-learn

TensorFlow

PyTorch

Big data

Spark

Hadoop

Communication

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

Spark

Hadoop

Job description

About the Role

Our client, a progressive insurance company, is seeking a talented and experienced Insurance Data Scientist to join their analytics team in **East London, Eastern Cape**. This role is critical for leveraging vast amounts of data to extract actionable insights, drive strategic decision-making, and optimize business processes across underwriting, pricing, claims, and marketing. You will be responsible for developing and implementing advanced statistical models, machine learning algorithms, and predictive analytics solutions. The ideal candidate will possess strong technical skills, a deep understanding of the insurance domain, and the ability to communicate complex findings to diverse stakeholders. This position offers a hybrid work arrangement, providing a blend of in-office collaboration in **East London** and the flexibility of remote work.

Key Responsibilities

• Design, develop, and deploy predictive models and machine learning algorithms for applications such as risk assessment, fraud detection, customer segmentation, and churn prediction.
• Analyze large, complex datasets from various sources to identify trends, patterns, and insights relevant to the insurance business.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Build and maintain data pipelines and ensure data quality and integrity for analytical purposes.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences through visualizations and presentations.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence relevant to the insurance industry.
• Evaluate and implement new data analysis tools and technologies.
• Contribute to the development of data-driven strategies and product innovation.
• Mentor junior data analysts and scientists as needed.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a significant portion focused on the insurance industry.
• Proficiency in programming languages such as Python or R, and libraries relevant to machine learning and data analysis (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and database management.
• Demonstrated experience with various machine learning techniques and statistical modeling.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to convey complex insights effectively.
• Ability to work independently and collaboratively in a hybrid environment based in **East London, Eastern Cape**.

Benefits

Our client offers a highly competitive salary and bonus structure commensurate with expertise. Comprehensive benefits include excellent medical aid, a generous retirement fund, and opportunities for advanced training and conference attendance. The hybrid work model in **East London** fosters a desirable work-life balance. This is an excellent opportunity to contribute to cutting-edge data science initiatives within the insurance sector and advance your career.