Published occupation directory
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Showing 25–32 of 32 published occupations · page 2 of 2
Information technology, data and cybersecurity
Data analysts turn raw records into answers people can act on. A large share of the job is unglamorous: finding the right data, cleaning it, checking it against what stakeholders actually meant, and then presenting the result honestly, including its limits.
Information technology, data and cybersecurity
Data engineers build the plumbing that moves data from where it is created to where it is analysed. They write pipelines, model warehouse tables, and put checks in place so that analysts and models are working from data that is complete and on time.
Information technology, data and cybersecurity
Machine learning engineers take models out of notebooks and into production systems. The role sits between data science and software engineering: building training and serving pipelines, watching for drift once a model is live, and handling the failure modes that only appear at scale.
Information technology, data and cybersecurity
Systems analysts sit between the people who need a system and the people who build it. They study how work is done now, specify what a system must do, and check that what gets delivered actually solves the original problem.
Information technology, data and cybersecurity
Embedded software developers write the code that runs inside physical products, from appliances and vehicles to medical and industrial equipment. Memory, power, and timing are tight, and testing usually means working with real hardware on a bench.
Natural sciences and research
Physicists investigate matter, energy, and the rules that govern them, either through experiment or through mathematical and computational modelling. Applied roles put that reasoning to work in areas such as medical imaging, instrumentation, optics, or energy systems. Much of the day is spent on mathematics, code, and instrument work rather than at a whiteboard.
Natural sciences and research
Astronomers study objects and processes beyond Earth using telescope observations, archival survey data, and simulations. In practice the work is dominated by writing code, handling very large datasets, and applying for observing time or funding. Instrument and software development is a substantial part of many posts.
Natural sciences and research
Statisticians design studies and analyses so that the conclusions drawn from data are actually supported by it. Applied roles sit across medicine, government, agriculture, and industry, and much of the value is in the planning stage rather than the final analysis. A recurring part of the job is explaining uncertainty to people who would prefer a single number.
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