Data Scientist
Use statistics and code to answer questions organisations actually have.
Data scientists build models and analyses that inform decisions. Much of the job is data cleaning, framing the right question and communicating results — not only machine learning.
What the job involves
- Cleaning and joining data from multiple sources
- Building and validating statistical or machine learning models
- Running experiments and interpreting results
- Presenting findings to non-technical stakeholders
Skills that matter
- Statistics
- Python or R
- SQL
- Data visualisation
- Domain reasoning
How students get in
- Statistics, data science, economics, computer science or physics degree
- Analyst role progressing into modelling work
Courses that lead here
Data Science & Analytics
Turn messy real-world data into decisions organisations can act on.
Computer Science
Build software, systems and the logic behind digital products.
Economics
Rigorous reasoning about incentives, markets and public policy.
Future demand at a glance
Organisations continue to collect far more data than they can currently use.
Read the full future-demand analysis for data scientistsNot sure what course fits you?
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