AI & Data Science careers
How do we know when a prediction is useful? Train, test and question the systems that turn data into decisions.
How do we know when a prediction is useful?
In AI and data science, people investigate information, build systems and challenge assumptions. Some roles specialise in statistics, others in production software or responsible use. Accuracy matters, but so do privacy and human oversight.
Explore 11 career profiles
Data Analyst
Investigates information to help people answer specific questions.
Explore this career →AI & Data ScienceData Scientist
Uses statistics and computing to investigate patterns and test predictive ideas.
Explore this career →AI & Data ScienceData Engineer
Builds reliable pipelines that move and organise information for analysis.
Explore this career →AI & Data ScienceAnalytics Engineer
Turns raw data into dependable tables and definitions for reports.
Explore this career →AI & Data ScienceBusiness Intelligence Analyst
Creates reports and dashboards that help organisations make informed decisions.
Explore this career →AI & Data ScienceMachine Learning Engineer
Develops, tests and deploys models that learn from examples.
Explore this career →AI & Data ScienceMLOps Engineer
Keeps machine-learning systems reliable after they have been deployed.
Explore this career →AI & Data ScienceAI Research Scientist
Investigates new approaches to machine intelligence and tests evidence for improvements.
Explore this career →AI & Data ScienceNatural Language Processing Engineer
Creates language-processing systems for searching, classifying or summarising text.
Explore this career →AI & Data ScienceComputer Vision Engineer
Helps computers identify patterns in images and video.
Explore this career →AI & Data ScienceResponsible AI Specialist
Helps teams identify and manage fairness, privacy and accountability risks in ai uses.
Explore this career →A starter challenge before choosing a career
Investigate a fictional survey, decide what cannot be concluded, then choose a next experiment.
Save a simple record of your work and what you would test next. A good career exploration project helps you discover whether the daily thinking appeals to you.