Remote Insurance Data Scientist

Placements24; Randburg; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Professional development

Health insurance

Job summary

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to leverage analytics and ML to drive underwriting, claims, fraud detection, and customer experience from anywhere.

You will design, deploy, and monitor predictive models, clean large datasets, translate business needs into data solutions, and present findings via dashboards.

The role requires an advanced degree, proven data science experience, Python or R, SQL, and cloud familiarity.

Qualifications

• Advanced degree (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 predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and experience with libraries like scikit-learn, TensorFlow, PyTorch.
• Expertise in SQL and experience working with large datasets and databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Responsibilities

• Design, develop, and deploy predictive models and machine learning algorithms for insurance applications (e.g., risk assessment, pricing, fraud detection).
• Clean, transform, and analyze large, complex datasets to extract actionable insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Develop dashboards and visualizations to communicate findings and recommendations effectively.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data governance and best practices within the organization.

Skills

Predictive modeling

Python

SQL

R

Cloud platforms

Communication

Education

Master’s or PhD in a quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a highly skilled Remote Insurance Data Scientist to leverage advanced analytics and machine learning to drive strategic insights and decision-making within their insurance operations. This fully remote position offers the chance to work with vast datasets, developing predictive models that enhance underwriting, claims processing, fraud detection, and customer experience. You will be a key contributor to innovation, applying cutting-edge techniques to solve complex business challenges and shape the future of insurance through data. This role is ideal for a passionate data professional who thrives in an autonomous, results-oriented environment, contributing significantly from anywhere in Gauteng or beyond.

Key Responsibilities

• Design, develop, and deploy predictive models and machine learning algorithms for insurance applications (e.g., risk assessment, pricing, fraud detection).
• Clean, transform, and analyze large, complex datasets to extract actionable insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Develop dashboards and visualizations to communicate findings and recommendations effectively.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data governance and best practices within the organization.

Requirements

• Advanced degree (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 predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL and experience working with large datasets and databases.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.
• Excellent communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and bonus structure commensurate with experience.
• Fully remote work arrangement with flexible hours.
• Generous provision for professional development, conferences, and training.
• Comprehensive health, dental, and vision insurance.
• Opportunity to work on challenging projects with a significant impact on the business.