Overview
The Data Scientist (AI) is responsible for managing all data and data-related functions to enable data-driven decisions. This includes managing data strategies, analytical processes, governance procedures, data protection requirements, and information dissemination.
Key Responsibilities
- Prioritizing data security and privacy
- Enhancing real-time analytics capabilities
- Establishing a robust data governance framework
- Scaling cloud and hybrid solutions
- Accelerating AI and machine learning integration
- Building a data-driven culture
- Adopting emerging technologies
- Supporting internal and external analysts, helping to maintain the Agency’s data stores and tools to process, analyse and learn from this data;
- Executes processes and procedures related to data engineering, including those for data pipelines;
- Supports the maintenance of the Agency’s data lakes, implementing updates and working with system owners to ensure data is available for analysis;
- Contributes to the design and updates to the Agency’s data lakes, and data science approaches, in conjunction with the data science team and Service Line analysts;
- Contributes to the machine learning initiative across the Agency with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets;
- In conjunction with the Data Science Team, manage and update the Agency toolset for data analysis;
- Contributes to new/modifications to data science toolsets and metrics, and to machine learning toolsets and metrics.
Required Experience
At least four years’ experience in data engineering and CIS systems design at a major CIS company. Four years’ experience in the determination of current and future CIS needs and in monitoring the performance of CIS systems in a large organization.
Qualifications
University Degree in computer science, engineering disciplines, statistics or similar numerate discipline, operations research, information technology, information systems engineering, business administration, quality engineering or related discipline and 2 years function related experience, or Higher Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 4 years post related experience.
