⢠Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
⢠Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
⢠Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings
⢠Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
⢠Evaluating emerging datasets and technologies that may contribute to our analytical platform
⢠Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies.
⢠Integrate engineering principles into data science workflows, optimising algorithms for performance, scalability, and maintainability.
⢠Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems.
⢠Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible