Data & AI

Data Scientist

Explore how data scientists use statistics, programming and domain knowledge to investigate complex questions.

Roles vary across organisations and change over time. Use this profile to identify questions, then investigate current role and course information.

What does this career involve?

Common kinds of work to investigate when learning about this area.

Work you might explore

  • Framing open-ended questions that data may help investigate
  • Exploring data quality, patterns and possible explanations
  • Building statistical or machine-learning models
  • Communicating findings without overstating certainty

What skills can help?

  • Statistics
  • Python or R
  • Data exploration
  • Critical interpretation

Courses to explore

These are possible learning routes, not fixed requirements. Course content and entry conditions vary.

Projects students can try

Small projects can help you test your interest and practise the work behind this career.

PROJECT 01

Study factors within a public dataset

PROJECT 02

Create a forecasting experiment with several methods

PROJECT 03

Publish an exploratory analysis with reproducible steps

Related careers

Compare neighboring roles to see how their work, skills and learning routes differ.

Reflect before you narrow down

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