Develop and implement advanced data analytics and machine learning models to solve complex problems in areas such as risk assessment, customer segmentation, fraud detection, and predictive modelling.
Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions and strategy.
Design and build data-driven products and services to enhance customer experiences and operational efficiency.
Develop with modularity, repeatability and scalability in mind.
Conduct rigorous data analysis to inform decision-making and present findings to stakeholders at all levels.
Stay abreast of industry trends and emerging technologies in data science and healthcare; evaluate and recommend new tools and approaches to improve existing systems.
Ensure data integrity and compliance with relevant regulations and ethical standards.
Requirements
Must have:
Five year’s experience within Data Science roles OR three years’ experience within Data Science roles with at least a Masters Degree in a related field
Strong proficiency in Python, R, or Similar
A problem solvers mindset, with the ability to consider a problem from multiple angles and identify appropriate solutions.
Excellent communication skills; you are able to translate the complex into actionable, understandable business insight.
Nice to have:
Experience within the healthcare or insurance industries.
Proficiency in SQL.
Technical experience leading projects throughout their lifecycle; from scoping, development and putting them into production.