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 highquality reliable and reproducible