This occupation is found in any sector or organisation that analyses high-volume or complex data sets using advanced computational methods, such as Agriculture, Environmental, Business, Leisure, Travel, Hospitality, Education, Public Services, Construction, Creative and Design, Media, Engineering, Technology, Manufacturing, Health, Science, Legal, Finance, Accountancy, Sales, Marketing, Procurement, Transport and Logistics
The broad purpose of the occupation is to discover and devise new data-driven AI solutions to automate and optimise business processes and to support, augment and enhance human decision-making. AI Data Specialists carry out applied research in order to create innovative data-driven artificial intelligence (AI) solutions to business problems within the constraints of a specific business context. They work with datasets that are too large, too complex, too varied or too fast, that render traditional approaches and techniques unsuitable or unfeasible.
AI Data Specialists champion AI and its applications within their organisation and promote adoption of novel tools and technologies, informed by current data governance frameworks and ethical best practices.
They deliver better value products and processes to the business by advancing the use of data, machine learning and artificial intelligence; using novel research to increase the quality and value of data within the organisation and across the industry. They communicate, internally and externally, with technology leaders and third parties.
AI Data Specialist’s responsibilities include:
Typical job titles include:
Initiate new projects in an agile environment and collaboratively maintain technical standards within AI solutions applied across the organisation and its customers.
Knowledge must have for Duty 1:
Skill must have for Duty 1:
Behaviour must have for Duty 1:
Critically evaluate and synthesise research findings in AI and related fields and translate them into organisational context.
Knowledge must have for Duty 2:
Skills must have for Duty 2:
Behavior must have for Duty 2:
Use the conclusions drawn from applied research in order to develop innovative, scalable data-driven AI solutions for business problems.
Knowledge must have for Duty 3:
Skills must have for Duty 3:
Behavior must have for Duty 3:
Contribute to the development and ethical and legal conduct of AI systems and processes, in line with organisational and regulatory requirements.
Knowledge must have for Duty 4:
Skills must have for Duty 4:
Behavior must have for Duty 4:
Investigate and devise the most efficient and effective architectures to enable and maximise the use and impact of AI systems and solutions for the organisation.
Knowledge must have for Duty 5:
Skills must have for Duty 5:
Behavior must have for Duty 5:
Develop innovative approaches to tackle known business problems that previously did not have a feasible solution within the constraints of a specific business context.
Knowledge must have for Duty 6:
Skills must have for Duty 6:
Behavior must have for Duty 6:
Initiate and design scalable batch/real-time analytical solutions to business problems leveraging AI and related technologies such as data science, machine learning, and statistics.
Knowledge must have for Duty 7:
Skills must have for Duty 7:
Behavior must have for Duty 7:
Enhance awareness of the wider application of AI tools and technologies across the business so that opportunities for its use can be identified.
Knowledge must have for Duty 8:
Skills must have for Duty 8:
Behavior must have for Duty 8:
Develop and architect new robust data sourcing and processing systems to serve the organisation.
Knowledge must have for Duty 9:
Skills must have for Duty 9:
Behavior must have for Duty 9:
Design technical roadmaps for data life-cycles ensuring appropriate support and business processes are in place.
Knowledge must have for Duty 10:
Skills must have for Duty 10:
Behavior must have for Duty 10:
Create and optimise efficient mechanisms for accessing and analysing datasets that are too large, too complex, too varied, or too fast, that render traditional approaches and techniques unsuitable or unfeasible, in order to deliver business outcomes.
Knowledge must have for Duty 11:
Skills must have for Duty 11:
Behavior must have for Duty 11:
Identify best practices in AI data systems, data structures, data architecture, and data warehousing technologies and provide technical oversight in order to meet business objectives.
Knowledge must have for Duty 12:
Skills must have for Duty 12:
Behavior must have for Duty 12:
Assess risks/limitations and quantify biases associated with applications of AI within given business contexts.
Knowledge must have for Duty 13:
Skills must have for Duty 13:
Behavior must have for Duty 13:
Provide technical authority for the business regarding emerging opportunities for AI.
Knowledge must have for Duty 12:
Skills must have for Duty 12:
Behavior must have for Duty 12:
Practice continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development.
Knowledge must have for Duty 15:
Skills must have for Duty 15:
Behavior must have for Duty 15:
SIMI Swiss is actively preparing to seek accreditation from the Swiss Agency of Accreditation and Quality Assurance (AAQ), which is approved by the Swiss Accreditation Council (SAC), by 2027.
SIMI Swiss is actively preparing to seek accreditation from the Swiss Agency of Accreditation and Quality Assurance (AAQ), which is approved by the Swiss Accreditation Council (SAC), by 2027.