Artificial Intelligence (AI) Data Specialist
Careers Explorer:
Discover and devise new data-driven AI solutions to automate and optimise business processes and to support, augment and enhance human decision-making.
Overview
Artificial Intelligence (AI) Data Specialists are found in any sector or organisation that analyses high volumes of complex data using advanced computational methods.
From pharmaceuticals and communications to transportation and defence, AI is now used across a broad range of sectors to enhance ICT systems making it smarter and more sensitive to user behaviour and changes in their environments.
It’s your job to use that data to create innovative data-driven artificial intelligence (AI) solutions to business problems. You’ll be working with datasets that are so large and complex that traditional approaches and techniques are just not an option.
You’ll be a problem-solver who can navigate between traditional software development and machine learning implementations. Machine learning is founded on algorithms that analyse large sets of data and learn from this data, without being programmed in the traditional way, but instead learn from the data that is fed into machine learning algorithms.
You’ll need to 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.
Top 5 Tasks
- Research improvements to machine-learning algorithms
- Automate processes by utilising machine learning
- Pattern matching and pattern recognition
- Coordinate between Data Scientists and Business Analysts
- Data-mining
Salary
The average UK salary for an AI Data Specialist is around £60,000.
Am I Suited?
- Technical competency
- Excellent maths skills
- Critical-thinker
- Problem solver
- Team player
Artificial Intelligence systems can analyse more medical information in a day than human doctors can in a year
Qualifications
Typically, you’ll need a Master’s degree in computer science or cognitive science (a combination of psychology, computer science, anthropology, and philosophy).
You’ll also need a strong background in programming or systems analysis and to be fluent in several computer languages.
