Data & AI Career Guides

Four roles, described as they actually are rather than as the job titles suggest. Start from the work you want to be doing and pick the route backwards from there.

Most people choose a course first and work out the destination afterwards, which is the wrong way round and costs a lot of wasted effort. These guides describe what each role involves on an ordinary working day, what employers genuinely screen for, and the realistic route in — including where each path is harder than it is usually presented.

The four paths

RoleThe work in one lineBest if you
Data AnalystAnswers business questions with dataWant the shortest route in, and enjoy working with people
Data ScientistEstimates what will happen and what to doEnjoy statistics and long-form problems
AI EngineerBuilds products on top of AI modelsEnjoy software engineering and shipping things
Azure Data EngineerBuilds the pipelines everyone else depends onPrefer building systems to presenting findings

If you are not sure where to start

Read how to become a data analyst first, even if you suspect it is not where you want to end up. It is the most common entry point, the shortest path from a non-technical background, and the skills it builds — SQL, data quality judgement and stakeholder communication — are assumed by all three of the others.

A great many people reach data science or engineering by starting as an analyst and moving across internally, which faces far less competition than applying externally into a senior role you are not yet qualified for.

Related reading

Still weighing two paths against each other? Book a free demo class, bring your background, and get a straight recommendation. Talk to a Career Expert