Remote Insurance Data Scientist

Our client, a leading innovator in the insurance technology space, is seeking a highly skilled and motivated Remote Insurance Data Scientist to join their cutting-edge analytics team. This role is fully remote, allowing you to leverage your data expertise from anywhere in South Africa. You will be instrumental in extracting valuable insights from vast datasets to drive strategic decision-making, optimize pricing, enhance risk assessment, and personalize customer experiences.

The ideal candidate will possess a strong background in statistics, machine learning, data mining, and a deep understanding of the insurance domain. This is an exceptional opportunity to work on challenging projects, develop advanced analytical models, and contribute to the company's data-driven transformation. We are looking for a curious and analytical individual who thrives in a collaborative, remote environment and is passionate about leveraging data to solve complex business problems, supporting operations that might be based around regions like Rustenburg, North West .

• Collect, clean, and process large, complex datasets from various internal and external sources.
• Develop, test, and deploy predictive models and machine learning algorithms for applications such as fraud detection, risk scoring, pricing, and customer segmentation.
• Analyze insurance data to identify trends, patterns, and insights that can inform business strategy.
• Design and conduct A/B tests and other experiments to measure the impact of new initiatives.
• Collaborate with product managers, engineers, and business stakeholders to define data requirements and translate business needs into analytical solutions.
• Visualize and communicate complex data findings and model results to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence relevant to the insurance industry.
• Ensure data quality, integrity, and security throughout the analytical process.
• Contribute to the development of the company's data infrastructure and analytical capabilities.
• Mentor junior data scientists and contribute to a culture of continuous learning and innovation.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4-6 years of professional experience as a Data Scientist, with a significant focus on the insurance industry.
• Proficiency in programming languages such as Python or R, and libraries like scikit-learn, Tensor Flow, PyTorch, pandas, and Num Py.
• Strong experience with SQL and working with large databases.
• Solid understanding of statistical modeling, machine learning techniques, and data mining principles.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Proven ability to work independently, manage projects effectively, and thrive in a remote, collaborative environment.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus, regardless of your physical proximity to areas like Rustenburg, North West .

• Highly competitive salary package with significant bonus potential.
• Comprehensive health, dental, and vision insurance coverage.
• Generous retirement savings plan with employer matching.
• Substantial budget for professional development, including conferences, courses, and certifications.
• Home office stipend, state-of-the-art equipment, and ongoing technical support.
• Flexible working hours and a results-oriented work culture.
• Opportunity to work on innovative projects with industry-leading technology.
• A collaborative and inclusive remote team environment.