Remote Insurance Data Scientist

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.